{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/daniellelemi/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/PoP Final Accepted Version/Lemi_PoP_Do_Voters_Prefer_Just_Any_Log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}22 Mar 2020, 14:55:05

{com}. cd "/Users/daniellelemi/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/PoP Final Accepted Version"
{res}/Users/daniellelemi/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/PoP Final Accepted Version

{com}. 
. 
. *Danielle Casarez Lemi

. *Do Voters Prefer Just Any Descriptive Representative?

. *Software used: Stata 15 IC, R

. *Files used: Lemi_PoP_Do_Voters_Prefer_Just_Any_Descriptive_Representative_Final.csv, 2016 National Asian American Pre-Election Survey

. 
. *#Reshape the data in R

. *#Loading cjoint

. *#(Barari, Soubhik, Elissa Berwick, Jens Hainmueller, Daniel Hopkins, Sean Liu, Anton Strezhnev, and Teppei Yamamoto. 2018. Package 'cjoint'. https://cran.r-project.org/web/packages/cjoint/cjoint.pdf)

. *library(cjoint)

. 
. *#Set working directory

. *setwd("~/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/PoP Final Accepted Version")

. 
. *#Reading in the data

. *#"responses" are the conjoint profiles, "covariates" are covariates 

. *#Reading in variables to replicate PoP analysis

. *Lemi_PoP_Do_Voters_Prefer_Just_Any_Descriptive_Representative <- read.qualtrics("Qualtrics_Final_Conjoint (6) copy.csv", 

.                                                                                    *responses=c("Q113","Q114","Q115","Q116","Q117","Q118","Q119","Q120","Q121","Q122"),

.                                                                                    *covariates=c("V9","V10","gc","Q1","Q2", "Q3", "Q4", "Q5", "Q6", "Q7_1", "Q7_2", "Q7_3", "Q7_4", "Q7_5","Q7_6","Q7_7", "Q8", "Q11", "Q15", "Q40", "Q41", "Q42", "Q43", "Q52","Q53","Q54","Q55","Q56","Q57","Q58","Q59","Q60","Q61","Q62","Q63","Q64","Q65","Q66","Q67","Q68","Q69","Q70","Q71","Q72","Q73","Q74","Q75","Q76","Q77","Q78","Q79","Q80","Q81","Q82","Q83","Q84","Q85","Q86","Q87","Q88","Q89","Q90","Q91", "Q92","Q124"), respondentID="V1")

. *summary(Lemi_PoP_Do_Voters_Prefer_Just_Any_Descriptive_Representative)

.   
.   
.   
. *write.csv(Lemi_PoP_Do_Voters_Prefer_Just_Any_Descriptive_Representative, na =".", "Lemi_PoP_Do_Voters_Prefer_Just_Any_Descriptive_Representative.csv")

. 
. ****Import the CSV file

. import delimited "/Users/daniellelemi/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/PoP Final Accepted Version/Lemi_PoP_Do_Voters_Prefer_Just_Any_Descriptive_Representative.csv"
{res}{text}(83 vars, 32,020 obs)

{com}. 
. 
. *Drop those who did not consent

. drop if q1 != 1
{txt}(2,500 observations deleted)

{com}. drop if gc !=1
{txt}(12,020 observations deleted)

{com}. 
. *Drop those who did not give permission to use data

. drop if q124 !=1
{txt}(780 observations deleted)

{com}. 
. *Drop those who did not finish

. drop if v10 !=1
{txt}(20 observations deleted)

{com}. 
. *Drop those who submitted response after 5/31/16

. tab v9

           {txt}V9 {c |}      Freq.     Percent        Cum.
{hline 14}{c +}{hline 35}
5/16/16 15:49 {c |}{res}         20        0.12        0.12
{txt}5/16/16 15:54 {c |}{res}         20        0.12        0.24
{txt}5/16/16 15:56 {c |}{res}         20        0.12        0.36
{txt}5/16/16 15:58 {c |}{res}         60        0.36        0.72
{txt}5/16/16 16:00 {c |}{res}         40        0.24        0.96
{txt}5/16/16 16:03 {c |}{res}         20        0.12        1.08
{txt}5/16/16 16:10 {c |}{res}         60        0.36        1.44
{txt}5/16/16 16:12 {c |}{res}         20        0.12        1.56
{txt}5/16/16 16:13 {c |}{res}         40        0.24        1.80
{txt}5/16/16 16:15 {c |}{res}        180        1.08        2.87
{txt}5/16/16 16:16 {c |}{res}        160        0.96        3.83
{txt}5/16/16 16:17 {c |}{res}         40        0.24        4.07
{txt}5/16/16 16:18 {c |}{res}         60        0.36        4.43
{txt}5/16/16 16:19 {c |}{res}         20        0.12        4.55
{txt}5/16/16 16:20 {c |}{res}         20        0.12        4.67
{txt}5/16/16 16:21 {c |}{res}         40        0.24        4.91
{txt}5/16/16 16:22 {c |}{res}        100        0.60        5.51
{txt}5/16/16 16:23 {c |}{res}         40        0.24        5.75
{txt}5/16/16 16:24 {c |}{res}         20        0.12        5.87
{txt}5/16/16 16:25 {c |}{res}         60        0.36        6.23
{txt}5/16/16 16:26 {c |}{res}         80        0.48        6.71
{txt}5/16/16 16:27 {c |}{res}        100        0.60        7.31
{txt}5/16/16 16:28 {c |}{res}         40        0.24        7.54
{txt}5/16/16 16:29 {c |}{res}         40        0.24        7.78
{txt}5/16/16 16:30 {c |}{res}        100        0.60        8.38
{txt}5/16/16 16:31 {c |}{res}         60        0.36        8.74
{txt}5/16/16 16:32 {c |}{res}         20        0.12        8.86
{txt}5/16/16 16:33 {c |}{res}         60        0.36        9.22
{txt}5/16/16 16:34 {c |}{res}         40        0.24        9.46
{txt}5/16/16 16:35 {c |}{res}         20        0.12        9.58
{txt}5/16/16 16:36 {c |}{res}         20        0.12        9.70
{txt}5/16/16 16:40 {c |}{res}         20        0.12        9.82
{txt}5/16/16 16:42 {c |}{res}         20        0.12        9.94
{txt}5/16/16 16:49 {c |}{res}         20        0.12       10.06
{txt}5/16/16 16:51 {c |}{res}         20        0.12       10.18
{txt}5/16/16 17:20 {c |}{res}         20        0.12       10.30
{txt}5/17/16 10:00 {c |}{res}         60        0.36       10.66
{txt}5/17/16 10:01 {c |}{res}         40        0.24       10.90
{txt}5/17/16 10:02 {c |}{res}        100        0.60       11.50
{txt}5/17/16 10:03 {c |}{res}         20        0.12       11.62
{txt}5/17/16 10:04 {c |}{res}         60        0.36       11.98
{txt}5/17/16 10:05 {c |}{res}         40        0.24       12.22
{txt}5/17/16 10:06 {c |}{res}         60        0.36       12.57
{txt}5/17/16 10:07 {c |}{res}         20        0.12       12.69
{txt}5/17/16 10:08 {c |}{res}         60        0.36       13.05
{txt}5/17/16 10:09 {c |}{res}         20        0.12       13.17
{txt}5/17/16 10:10 {c |}{res}        120        0.72       13.89
{txt}5/17/16 10:12 {c |}{res}         40        0.24       14.13
{txt}5/17/16 10:13 {c |}{res}         80        0.48       14.61
{txt}5/17/16 10:14 {c |}{res}        100        0.60       15.21
{txt}5/17/16 10:15 {c |}{res}        100        0.60       15.81
{txt}5/17/16 10:16 {c |}{res}        100        0.60       16.41
{txt}5/17/16 10:17 {c |}{res}         80        0.48       16.89
{txt}5/17/16 10:18 {c |}{res}         80        0.48       17.37
{txt}5/17/16 10:19 {c |}{res}         20        0.12       17.49
{txt}5/17/16 10:20 {c |}{res}         20        0.12       17.60
{txt}5/17/16 10:21 {c |}{res}         80        0.48       18.08
{txt}5/17/16 10:22 {c |}{res}         20        0.12       18.20
{txt}5/17/16 10:23 {c |}{res}         40        0.24       18.44
{txt}5/17/16 10:25 {c |}{res}         20        0.12       18.56
{txt}5/17/16 10:27 {c |}{res}         20        0.12       18.68
{txt}5/17/16 10:28 {c |}{res}         40        0.24       18.92
{txt}5/17/16 10:30 {c |}{res}         60        0.36       19.28
{txt}5/17/16 10:31 {c |}{res}         20        0.12       19.40
{txt}5/17/16 10:32 {c |}{res}         40        0.24       19.64
{txt}5/17/16 10:33 {c |}{res}         60        0.36       20.00
{txt}5/17/16 10:34 {c |}{res}         20        0.12       20.12
{txt}5/17/16 10:35 {c |}{res}         20        0.12       20.24
{txt}5/17/16 10:36 {c |}{res}         40        0.24       20.48
{txt}5/17/16 10:37 {c |}{res}         20        0.12       20.60
{txt}5/17/16 10:38 {c |}{res}         40        0.24       20.84
{txt}5/17/16 10:39 {c |}{res}         60        0.36       21.20
{txt}5/17/16 10:40 {c |}{res}         40        0.24       21.44
{txt}5/17/16 10:42 {c |}{res}         80        0.48       21.92
{txt}5/17/16 10:43 {c |}{res}         20        0.12       22.04
{txt}5/17/16 10:44 {c |}{res}         80        0.48       22.51
{txt}5/17/16 10:45 {c |}{res}         40        0.24       22.75
{txt}5/17/16 10:46 {c |}{res}         20        0.12       22.87
{txt}5/17/16 10:47 {c |}{res}         20        0.12       22.99
{txt}5/17/16 10:48 {c |}{res}         40        0.24       23.23
{txt}5/17/16 10:49 {c |}{res}         60        0.36       23.59
{txt}5/17/16 10:51 {c |}{res}         20        0.12       23.71
{txt}5/17/16 10:52 {c |}{res}         60        0.36       24.07
{txt}5/17/16 10:53 {c |}{res}         20        0.12       24.19
{txt}5/17/16 10:55 {c |}{res}         80        0.48       24.67
{txt}5/17/16 10:56 {c |}{res}         20        0.12       24.79
{txt}5/17/16 10:57 {c |}{res}         20        0.12       24.91
{txt}5/17/16 10:58 {c |}{res}         20        0.12       25.03
{txt}5/17/16 10:59 {c |}{res}         20        0.12       25.15
{txt}5/17/16 11:00 {c |}{res}         20        0.12       25.27
{txt}5/17/16 11:01 {c |}{res}         40        0.24       25.51
{txt}5/17/16 11:02 {c |}{res}         20        0.12       25.63
{txt}5/17/16 11:03 {c |}{res}         20        0.12       25.75
{txt}5/17/16 11:04 {c |}{res}         60        0.36       26.11
{txt}5/17/16 11:06 {c |}{res}         20        0.12       26.23
{txt}5/17/16 11:07 {c |}{res}         60        0.36       26.59
{txt}5/17/16 11:12 {c |}{res}         40        0.24       26.83
{txt}5/17/16 11:13 {c |}{res}         40        0.24       27.07
{txt}5/17/16 11:14 {c |}{res}         40        0.24       27.31
{txt}5/17/16 11:15 {c |}{res}         20        0.12       27.43
{txt}5/17/16 11:17 {c |}{res}         40        0.24       27.66
{txt}5/17/16 11:20 {c |}{res}         20        0.12       27.78
{txt}5/17/16 11:21 {c |}{res}         40        0.24       28.02
{txt}5/17/16 11:25 {c |}{res}         40        0.24       28.26
{txt}5/17/16 11:26 {c |}{res}         20        0.12       28.38
{txt}5/17/16 11:29 {c |}{res}         40        0.24       28.62
{txt}5/17/16 11:30 {c |}{res}         20        0.12       28.74
{txt}5/17/16 11:32 {c |}{res}         20        0.12       28.86
{txt}5/17/16 11:35 {c |}{res}         20        0.12       28.98
{txt}5/17/16 11:36 {c |}{res}         20        0.12       29.10
{txt}5/17/16 11:37 {c |}{res}         20        0.12       29.22
{txt}5/17/16 11:41 {c |}{res}         20        0.12       29.34
{txt}5/17/16 11:43 {c |}{res}         20        0.12       29.46
{txt}5/17/16 11:51 {c |}{res}         20        0.12       29.58
{txt}5/17/16 11:52 {c |}{res}         20        0.12       29.70
{txt}5/17/16 11:55 {c |}{res}         20        0.12       29.82
{txt}5/17/16 11:56 {c |}{res}         20        0.12       29.94
{txt}5/17/16 12:01 {c |}{res}         20        0.12       30.06
{txt}5/17/16 12:05 {c |}{res}         20        0.12       30.18
{txt}5/17/16 12:06 {c |}{res}         40        0.24       30.42
{txt}5/17/16 12:07 {c |}{res}         20        0.12       30.54
{txt}5/17/16 12:10 {c |}{res}         20        0.12       30.66
{txt}5/17/16 12:11 {c |}{res}         20        0.12       30.78
{txt}5/17/16 12:12 {c |}{res}         20        0.12       30.90
{txt}5/17/16 12:14 {c |}{res}         40        0.24       31.14
{txt}5/17/16 12:17 {c |}{res}         20        0.12       31.26
{txt}5/17/16 12:27 {c |}{res}         20        0.12       31.38
{txt}5/17/16 12:28 {c |}{res}         20        0.12       31.50
{txt}5/17/16 12:29 {c |}{res}         20        0.12       31.62
{txt}5/17/16 12:33 {c |}{res}         20        0.12       31.74
{txt}5/17/16 12:35 {c |}{res}         20        0.12       31.86
{txt}5/17/16 12:36 {c |}{res}         20        0.12       31.98
{txt}5/17/16 12:37 {c |}{res}         40        0.24       32.22
{txt}5/17/16 12:45 {c |}{res}         20        0.12       32.34
{txt}5/17/16 12:47 {c |}{res}         20        0.12       32.46
{txt}5/17/16 12:48 {c |}{res}         60        0.36       32.81
{txt}5/17/16 12:49 {c |}{res}         20        0.12       32.93
{txt}5/17/16 12:50 {c |}{res}         20        0.12       33.05
{txt}5/17/16 12:57 {c |}{res}         20        0.12       33.17
{txt}5/17/16 12:59 {c |}{res}         20        0.12       33.29
{txt}5/17/16 13:00 {c |}{res}         20        0.12       33.41
{txt}5/17/16 13:01 {c |}{res}         20        0.12       33.53
{txt}5/17/16 13:06 {c |}{res}         20        0.12       33.65
{txt}5/17/16 13:15 {c |}{res}         20        0.12       33.77
{txt}5/17/16 13:19 {c |}{res}         20        0.12       33.89
{txt}5/17/16 13:20 {c |}{res}         20        0.12       34.01
{txt}5/17/16 13:23 {c |}{res}         20        0.12       34.13
{txt}5/17/16 13:27 {c |}{res}         80        0.48       34.61
{txt}5/17/16 13:29 {c |}{res}         20        0.12       34.73
{txt}5/17/16 13:32 {c |}{res}         20        0.12       34.85
{txt}5/17/16 13:33 {c |}{res}         20        0.12       34.97
{txt}5/17/16 13:35 {c |}{res}         20        0.12       35.09
{txt}5/17/16 13:36 {c |}{res}         20        0.12       35.21
{txt}5/17/16 13:46 {c |}{res}         20        0.12       35.33
{txt}5/17/16 13:48 {c |}{res}         20        0.12       35.45
{txt}5/17/16 13:50 {c |}{res}         20        0.12       35.57
{txt}5/17/16 13:54 {c |}{res}         20        0.12       35.69
{txt}5/17/16 13:59 {c |}{res}         20        0.12       35.81
{txt}5/17/16 14:00 {c |}{res}         20        0.12       35.93
{txt}5/17/16 14:01 {c |}{res}         40        0.24       36.17
{txt}5/17/16 14:04 {c |}{res}         20        0.12       36.29
{txt}5/17/16 14:06 {c |}{res}         40        0.24       36.53
{txt}5/17/16 14:11 {c |}{res}         40        0.24       36.77
{txt}5/17/16 14:15 {c |}{res}         20        0.12       36.89
{txt}5/17/16 14:16 {c |}{res}         20        0.12       37.01
{txt}5/17/16 14:20 {c |}{res}         40        0.24       37.25
{txt}5/17/16 14:25 {c |}{res}         20        0.12       37.37
{txt}5/17/16 14:26 {c |}{res}         20        0.12       37.49
{txt}5/17/16 14:31 {c |}{res}         20        0.12       37.60
{txt}5/17/16 14:36 {c |}{res}         20        0.12       37.72
{txt}5/17/16 14:39 {c |}{res}         20        0.12       37.84
{txt}5/17/16 14:40 {c |}{res}         20        0.12       37.96
{txt}5/17/16 14:45 {c |}{res}         20        0.12       38.08
{txt}5/17/16 14:46 {c |}{res}         20        0.12       38.20
{txt}5/17/16 14:47 {c |}{res}         20        0.12       38.32
{txt}5/17/16 14:53 {c |}{res}         20        0.12       38.44
{txt}5/17/16 14:54 {c |}{res}         20        0.12       38.56
{txt}5/17/16 15:00 {c |}{res}         20        0.12       38.68
{txt}5/17/16 15:03 {c |}{res}         20        0.12       38.80
{txt}5/17/16 15:04 {c |}{res}         20        0.12       38.92
{txt}5/17/16 15:05 {c |}{res}         40        0.24       39.16
{txt}5/17/16 15:08 {c |}{res}         60        0.36       39.52
{txt}5/17/16 15:14 {c |}{res}         20        0.12       39.64
{txt}5/17/16 15:18 {c |}{res}         40        0.24       39.88
{txt}5/17/16 15:21 {c |}{res}         20        0.12       40.00
{txt}5/17/16 15:28 {c |}{res}         20        0.12       40.12
{txt}5/17/16 15:29 {c |}{res}         20        0.12       40.24
{txt}5/17/16 15:30 {c |}{res}         20        0.12       40.36
{txt}5/17/16 15:32 {c |}{res}         40        0.24       40.60
{txt}5/17/16 15:33 {c |}{res}         20        0.12       40.72
{txt}5/17/16 15:36 {c |}{res}         20        0.12       40.84
{txt}5/17/16 15:38 {c |}{res}         20        0.12       40.96
{txt}5/17/16 15:41 {c |}{res}         40        0.24       41.20
{txt}5/17/16 15:42 {c |}{res}         40        0.24       41.44
{txt}5/17/16 15:43 {c |}{res}         40        0.24       41.68
{txt}5/17/16 15:45 {c |}{res}         20        0.12       41.80
{txt}5/17/16 15:46 {c |}{res}         20        0.12       41.92
{txt}5/17/16 15:47 {c |}{res}         20        0.12       42.04
{txt}5/17/16 15:48 {c |}{res}         20        0.12       42.16
{txt}5/17/16 15:54 {c |}{res}         20        0.12       42.28
{txt}5/17/16 16:12 {c |}{res}         20        0.12       42.40
{txt}5/17/16 16:14 {c |}{res}         20        0.12       42.51
{txt}5/17/16 16:17 {c |}{res}         20        0.12       42.63
{txt}5/17/16 16:18 {c |}{res}         20        0.12       42.75
{txt}5/17/16 16:21 {c |}{res}         20        0.12       42.87
{txt}5/17/16 16:23 {c |}{res}         20        0.12       42.99
{txt}5/17/16 16:25 {c |}{res}         40        0.24       43.23
{txt}5/17/16 16:29 {c |}{res}         20        0.12       43.35
{txt}5/17/16 16:35 {c |}{res}         20        0.12       43.47
{txt}5/17/16 16:36 {c |}{res}         20        0.12       43.59
{txt}5/17/16 16:38 {c |}{res}         20        0.12       43.71
{txt}5/17/16 16:39 {c |}{res}         20        0.12       43.83
{txt}5/17/16 16:43 {c |}{res}         60        0.36       44.19
{txt}5/17/16 16:44 {c |}{res}         20        0.12       44.31
{txt}5/17/16 16:47 {c |}{res}         20        0.12       44.43
{txt}5/17/16 16:48 {c |}{res}         40        0.24       44.67
{txt}5/17/16 16:49 {c |}{res}         20        0.12       44.79
{txt}5/17/16 16:52 {c |}{res}         40        0.24       45.03
{txt}5/17/16 16:53 {c |}{res}         20        0.12       45.15
{txt}5/17/16 16:54 {c |}{res}         20        0.12       45.27
{txt}5/17/16 16:58 {c |}{res}         20        0.12       45.39
{txt}5/17/16 17:02 {c |}{res}         20        0.12       45.51
{txt}5/17/16 17:03 {c |}{res}         20        0.12       45.63
{txt}5/17/16 17:07 {c |}{res}         20        0.12       45.75
{txt}5/17/16 17:09 {c |}{res}         40        0.24       45.99
{txt}5/17/16 17:13 {c |}{res}         20        0.12       46.11
{txt}5/17/16 17:14 {c |}{res}         40        0.24       46.35
{txt}5/17/16 17:16 {c |}{res}         40        0.24       46.59
{txt}5/17/16 17:17 {c |}{res}         20        0.12       46.71
{txt}5/17/16 17:18 {c |}{res}         40        0.24       46.95
{txt}5/17/16 17:19 {c |}{res}         20        0.12       47.07
{txt}5/17/16 17:24 {c |}{res}         40        0.24       47.31
{txt}5/17/16 17:25 {c |}{res}         20        0.12       47.43
{txt}5/17/16 17:26 {c |}{res}         20        0.12       47.54
{txt}5/17/16 17:28 {c |}{res}         20        0.12       47.66
{txt}5/17/16 17:29 {c |}{res}         20        0.12       47.78
{txt}5/17/16 17:30 {c |}{res}         20        0.12       47.90
{txt}5/17/16 17:31 {c |}{res}         20        0.12       48.02
{txt}5/17/16 17:41 {c |}{res}         20        0.12       48.14
{txt}5/17/16 17:45 {c |}{res}         20        0.12       48.26
{txt}5/17/16 17:48 {c |}{res}         20        0.12       48.38
{txt}5/17/16 17:51 {c |}{res}         20        0.12       48.50
{txt}5/17/16 17:52 {c |}{res}         20        0.12       48.62
{txt}5/17/16 17:57 {c |}{res}         40        0.24       48.86
{txt}5/17/16 18:06 {c |}{res}         20        0.12       48.98
{txt}5/17/16 18:07 {c |}{res}         20        0.12       49.10
{txt}5/17/16 18:12 {c |}{res}         40        0.24       49.34
{txt}5/17/16 18:13 {c |}{res}         40        0.24       49.58
{txt}5/17/16 18:14 {c |}{res}         20        0.12       49.70
{txt}5/17/16 18:16 {c |}{res}         20        0.12       49.82
{txt}5/17/16 18:17 {c |}{res}         40        0.24       50.06
{txt}5/17/16 18:20 {c |}{res}         20        0.12       50.18
{txt}5/17/16 18:23 {c |}{res}         20        0.12       50.30
{txt}5/17/16 18:26 {c |}{res}         20        0.12       50.42
{txt}5/17/16 18:27 {c |}{res}         20        0.12       50.54
{txt}5/17/16 18:32 {c |}{res}         20        0.12       50.66
{txt}5/17/16 18:33 {c |}{res}         20        0.12       50.78
{txt}5/17/16 18:36 {c |}{res}         20        0.12       50.90
{txt}5/17/16 18:37 {c |}{res}         20        0.12       51.02
{txt}5/17/16 18:38 {c |}{res}         60        0.36       51.38
{txt}5/17/16 18:39 {c |}{res}         20        0.12       51.50
{txt}5/17/16 18:40 {c |}{res}         20        0.12       51.62
{txt}5/17/16 18:41 {c |}{res}         40        0.24       51.86
{txt}5/17/16 18:42 {c |}{res}         20        0.12       51.98
{txt}5/17/16 18:43 {c |}{res}         20        0.12       52.10
{txt}5/17/16 18:47 {c |}{res}         20        0.12       52.22
{txt}5/17/16 18:52 {c |}{res}         20        0.12       52.34
{txt}5/17/16 18:54 {c |}{res}         20        0.12       52.46
{txt}5/17/16 18:57 {c |}{res}         20        0.12       52.57
{txt}5/17/16 19:02 {c |}{res}         20        0.12       52.69
{txt}5/17/16 19:05 {c |}{res}         20        0.12       52.81
{txt}5/17/16 19:06 {c |}{res}         20        0.12       52.93
{txt}5/17/16 19:12 {c |}{res}         20        0.12       53.05
{txt}5/17/16 19:13 {c |}{res}         40        0.24       53.29
{txt}5/17/16 19:14 {c |}{res}         20        0.12       53.41
{txt}5/17/16 19:16 {c |}{res}         40        0.24       53.65
{txt}5/17/16 19:17 {c |}{res}         20        0.12       53.77
{txt}5/17/16 19:20 {c |}{res}         20        0.12       53.89
{txt}5/17/16 19:22 {c |}{res}         20        0.12       54.01
{txt}5/17/16 19:23 {c |}{res}         20        0.12       54.13
{txt}5/17/16 19:30 {c |}{res}         40        0.24       54.37
{txt}5/17/16 19:37 {c |}{res}         20        0.12       54.49
{txt}5/17/16 19:38 {c |}{res}         20        0.12       54.61
{txt}5/17/16 19:40 {c |}{res}         20        0.12       54.73
{txt}5/17/16 19:41 {c |}{res}         20        0.12       54.85
{txt}5/17/16 19:43 {c |}{res}         20        0.12       54.97
{txt}5/17/16 19:46 {c |}{res}         20        0.12       55.09
{txt}5/17/16 19:47 {c |}{res}         20        0.12       55.21
{txt}5/17/16 19:50 {c |}{res}         20        0.12       55.33
{txt}5/17/16 19:53 {c |}{res}         20        0.12       55.45
{txt}5/17/16 19:54 {c |}{res}         20        0.12       55.57
{txt}5/17/16 19:55 {c |}{res}         40        0.24       55.81
{txt}5/17/16 19:56 {c |}{res}         40        0.24       56.05
{txt}5/17/16 19:58 {c |}{res}         40        0.24       56.29
{txt}5/17/16 19:59 {c |}{res}         20        0.12       56.41
{txt}5/17/16 20:06 {c |}{res}         40        0.24       56.65
{txt}5/17/16 20:09 {c |}{res}         20        0.12       56.77
{txt}5/17/16 20:14 {c |}{res}         20        0.12       56.89
{txt}5/17/16 20:16 {c |}{res}         40        0.24       57.13
{txt}5/17/16 20:22 {c |}{res}         20        0.12       57.25
{txt}5/17/16 20:25 {c |}{res}         20        0.12       57.37
{txt}5/17/16 20:27 {c |}{res}         20        0.12       57.49
{txt}5/17/16 20:38 {c |}{res}         20        0.12       57.60
{txt}5/17/16 20:40 {c |}{res}         20        0.12       57.72
{txt}5/17/16 20:42 {c |}{res}         20        0.12       57.84
{txt}5/17/16 20:50 {c |}{res}         20        0.12       57.96
{txt}5/17/16 20:55 {c |}{res}         40        0.24       58.20
{txt}5/17/16 21:04 {c |}{res}         20        0.12       58.32
{txt}5/17/16 21:06 {c |}{res}         20        0.12       58.44
{txt}5/17/16 21:07 {c |}{res}         20        0.12       58.56
{txt}5/17/16 21:11 {c |}{res}         20        0.12       58.68
{txt}5/17/16 21:20 {c |}{res}         20        0.12       58.80
{txt}5/17/16 21:29 {c |}{res}         20        0.12       58.92
{txt}5/17/16 21:32 {c |}{res}         20        0.12       59.04
{txt}5/17/16 21:38 {c |}{res}         20        0.12       59.16
{txt}5/17/16 21:39 {c |}{res}         40        0.24       59.40
{txt}5/17/16 21:45 {c |}{res}         20        0.12       59.52
{txt}5/17/16 21:49 {c |}{res}         20        0.12       59.64
{txt}5/17/16 21:51 {c |}{res}         20        0.12       59.76
{txt}5/17/16 21:58 {c |}{res}         20        0.12       59.88
{txt}5/17/16 22:00 {c |}{res}         20        0.12       60.00
{txt}5/17/16 22:03 {c |}{res}         20        0.12       60.12
{txt}5/17/16 22:11 {c |}{res}         20        0.12       60.24
{txt}5/17/16 22:12 {c |}{res}         20        0.12       60.36
{txt}5/17/16 22:20 {c |}{res}         20        0.12       60.48
{txt}5/17/16 22:25 {c |}{res}         20        0.12       60.60
{txt}5/17/16 22:26 {c |}{res}         20        0.12       60.72
{txt}5/17/16 22:30 {c |}{res}         20        0.12       60.84
{txt}5/17/16 22:32 {c |}{res}         40        0.24       61.08
{txt}5/17/16 22:34 {c |}{res}         40        0.24       61.32
{txt}5/17/16 22:35 {c |}{res}         20        0.12       61.44
{txt}5/17/16 22:39 {c |}{res}         20        0.12       61.56
{txt}5/17/16 22:42 {c |}{res}         20        0.12       61.68
{txt}5/17/16 22:48 {c |}{res}         20        0.12       61.80
{txt}5/17/16 22:49 {c |}{res}         20        0.12       61.92
{txt}5/17/16 23:04 {c |}{res}         20        0.12       62.04
{txt}5/17/16 23:18 {c |}{res}         20        0.12       62.16
{txt}5/17/16 23:36 {c |}{res}         20        0.12       62.28
{txt}5/17/16 23:41 {c |}{res}         20        0.12       62.40
{txt}5/17/16 23:59 {c |}{res}         20        0.12       62.51
{txt} 5/17/16 9:38 {c |}{res}         20        0.12       62.63
{txt} 5/17/16 9:39 {c |}{res}         20        0.12       62.75
{txt} 5/17/16 9:40 {c |}{res}         20        0.12       62.87
{txt} 5/17/16 9:42 {c |}{res}         60        0.36       63.23
{txt} 5/17/16 9:43 {c |}{res}         40        0.24       63.47
{txt} 5/17/16 9:44 {c |}{res}        120        0.72       64.19
{txt} 5/17/16 9:45 {c |}{res}         40        0.24       64.43
{txt} 5/17/16 9:46 {c |}{res}         80        0.48       64.91
{txt} 5/17/16 9:47 {c |}{res}         20        0.12       65.03
{txt} 5/17/16 9:48 {c |}{res}         80        0.48       65.51
{txt} 5/17/16 9:50 {c |}{res}         80        0.48       65.99
{txt} 5/17/16 9:51 {c |}{res}         40        0.24       66.23
{txt} 5/17/16 9:52 {c |}{res}        100        0.60       66.83
{txt} 5/17/16 9:54 {c |}{res}         60        0.36       67.19
{txt} 5/17/16 9:55 {c |}{res}         40        0.24       67.43
{txt} 5/17/16 9:56 {c |}{res}         60        0.36       67.78
{txt} 5/17/16 9:57 {c |}{res}         60        0.36       68.14
{txt} 5/17/16 9:58 {c |}{res}        140        0.84       68.98
{txt} 5/17/16 9:59 {c |}{res}        140        0.84       69.82
{txt} 5/18/16 0:11 {c |}{res}         20        0.12       69.94
{txt} 5/18/16 0:27 {c |}{res}         20        0.12       70.06
{txt} 5/18/16 0:35 {c |}{res}         40        0.24       70.30
{txt} 5/18/16 0:51 {c |}{res}         20        0.12       70.42
{txt}5/18/16 10:07 {c |}{res}         40        0.24       70.66
{txt}5/18/16 10:19 {c |}{res}         20        0.12       70.78
{txt}5/18/16 10:28 {c |}{res}         20        0.12       70.90
{txt}5/18/16 10:32 {c |}{res}         20        0.12       71.02
{txt}5/18/16 10:40 {c |}{res}         20        0.12       71.14
{txt}5/18/16 10:42 {c |}{res}         20        0.12       71.26
{txt}5/18/16 11:01 {c |}{res}         20        0.12       71.38
{txt}5/18/16 11:12 {c |}{res}         20        0.12       71.50
{txt}5/18/16 11:21 {c |}{res}         40        0.24       71.74
{txt}5/18/16 11:25 {c |}{res}         20        0.12       71.86
{txt}5/18/16 11:38 {c |}{res}         20        0.12       71.98
{txt}5/18/16 11:41 {c |}{res}         20        0.12       72.10
{txt}5/18/16 11:51 {c |}{res}         20        0.12       72.22
{txt}5/18/16 12:20 {c |}{res}         20        0.12       72.34
{txt}5/18/16 12:42 {c |}{res}         20        0.12       72.46
{txt}5/18/16 12:56 {c |}{res}         20        0.12       72.57
{txt}5/18/16 13:04 {c |}{res}         20        0.12       72.69
{txt}5/18/16 13:53 {c |}{res}         20        0.12       72.81
{txt}5/18/16 14:19 {c |}{res}         20        0.12       72.93
{txt}5/18/16 14:24 {c |}{res}         20        0.12       73.05
{txt}5/18/16 14:34 {c |}{res}         20        0.12       73.17
{txt}5/18/16 14:36 {c |}{res}         20        0.12       73.29
{txt}5/18/16 14:47 {c |}{res}         20        0.12       73.41
{txt}5/18/16 14:48 {c |}{res}         20        0.12       73.53
{txt}5/18/16 14:49 {c |}{res}         20        0.12       73.65
{txt}5/18/16 15:12 {c |}{res}         20        0.12       73.77
{txt}5/18/16 15:18 {c |}{res}         20        0.12       73.89
{txt}5/18/16 15:30 {c |}{res}         20        0.12       74.01
{txt}5/18/16 15:36 {c |}{res}         20        0.12       74.13
{txt}5/18/16 15:45 {c |}{res}         20        0.12       74.25
{txt}5/18/16 15:53 {c |}{res}         20        0.12       74.37
{txt}5/18/16 15:58 {c |}{res}         20        0.12       74.49
{txt}5/18/16 15:59 {c |}{res}         20        0.12       74.61
{txt}5/18/16 16:02 {c |}{res}         20        0.12       74.73
{txt}5/18/16 16:09 {c |}{res}         20        0.12       74.85
{txt}5/18/16 16:10 {c |}{res}         20        0.12       74.97
{txt}5/18/16 16:12 {c |}{res}         20        0.12       75.09
{txt}5/18/16 16:15 {c |}{res}         20        0.12       75.21
{txt}5/18/16 16:23 {c |}{res}         40        0.24       75.45
{txt}5/18/16 16:25 {c |}{res}         20        0.12       75.57
{txt}5/18/16 16:37 {c |}{res}         20        0.12       75.69
{txt}5/18/16 16:46 {c |}{res}         20        0.12       75.81
{txt}5/18/16 16:56 {c |}{res}         20        0.12       75.93
{txt}5/18/16 17:01 {c |}{res}         20        0.12       76.05
{txt}5/18/16 17:11 {c |}{res}         20        0.12       76.17
{txt}5/18/16 17:12 {c |}{res}         20        0.12       76.29
{txt}5/18/16 17:13 {c |}{res}         20        0.12       76.41
{txt}5/18/16 17:16 {c |}{res}         20        0.12       76.53
{txt}5/18/16 17:18 {c |}{res}         20        0.12       76.65
{txt}5/18/16 17:41 {c |}{res}         20        0.12       76.77
{txt}5/18/16 17:42 {c |}{res}         20        0.12       76.89
{txt}5/18/16 17:45 {c |}{res}         20        0.12       77.01
{txt}5/18/16 17:47 {c |}{res}         20        0.12       77.13
{txt}5/18/16 17:57 {c |}{res}         20        0.12       77.25
{txt}5/18/16 18:10 {c |}{res}         20        0.12       77.37
{txt}5/18/16 18:25 {c |}{res}         20        0.12       77.49
{txt}5/18/16 18:56 {c |}{res}         20        0.12       77.60
{txt}5/18/16 18:58 {c |}{res}         20        0.12       77.72
{txt}5/18/16 19:13 {c |}{res}         20        0.12       77.84
{txt}5/18/16 19:14 {c |}{res}         40        0.24       78.08
{txt}5/18/16 19:16 {c |}{res}         20        0.12       78.20
{txt}5/18/16 19:23 {c |}{res}         20        0.12       78.32
{txt}5/18/16 19:24 {c |}{res}         20        0.12       78.44
{txt}5/18/16 19:26 {c |}{res}         20        0.12       78.56
{txt}5/18/16 19:38 {c |}{res}         20        0.12       78.68
{txt} 5/18/16 1:06 {c |}{res}         20        0.12       78.80
{txt} 5/18/16 1:11 {c |}{res}         20        0.12       78.92
{txt} 5/18/16 1:16 {c |}{res}         20        0.12       79.04
{txt} 5/18/16 1:19 {c |}{res}         20        0.12       79.16
{txt} 5/18/16 1:23 {c |}{res}         20        0.12       79.28
{txt} 5/18/16 1:26 {c |}{res}         20        0.12       79.40
{txt} 5/18/16 1:38 {c |}{res}         20        0.12       79.52
{txt} 5/18/16 1:46 {c |}{res}         20        0.12       79.64
{txt}5/18/16 20:21 {c |}{res}         20        0.12       79.76
{txt}5/18/16 20:37 {c |}{res}         20        0.12       79.88
{txt}5/18/16 20:40 {c |}{res}         20        0.12       80.00
{txt}5/18/16 20:43 {c |}{res}         20        0.12       80.12
{txt}5/18/16 20:47 {c |}{res}         20        0.12       80.24
{txt}5/18/16 20:53 {c |}{res}         20        0.12       80.36
{txt}5/18/16 20:55 {c |}{res}         20        0.12       80.48
{txt}5/18/16 21:05 {c |}{res}         20        0.12       80.60
{txt}5/18/16 21:22 {c |}{res}         20        0.12       80.72
{txt}5/18/16 21:31 {c |}{res}         20        0.12       80.84
{txt}5/18/16 21:54 {c |}{res}         20        0.12       80.96
{txt}5/18/16 21:59 {c |}{res}         20        0.12       81.08
{txt}5/18/16 22:04 {c |}{res}         20        0.12       81.20
{txt}5/18/16 22:10 {c |}{res}         40        0.24       81.44
{txt}5/18/16 22:23 {c |}{res}         20        0.12       81.56
{txt}5/18/16 22:49 {c |}{res}         20        0.12       81.68
{txt}5/18/16 23:22 {c |}{res}         20        0.12       81.80
{txt}5/18/16 23:44 {c |}{res}         20        0.12       81.92
{txt}5/18/16 23:45 {c |}{res}         20        0.12       82.04
{txt}5/18/16 23:55 {c |}{res}         20        0.12       82.16
{txt} 5/18/16 2:12 {c |}{res}         20        0.12       82.28
{txt} 5/18/16 3:14 {c |}{res}         20        0.12       82.40
{txt} 5/18/16 3:42 {c |}{res}         20        0.12       82.51
{txt} 5/18/16 3:50 {c |}{res}         20        0.12       82.63
{txt} 5/18/16 3:52 {c |}{res}         20        0.12       82.75
{txt} 5/18/16 3:54 {c |}{res}         20        0.12       82.87
{txt} 5/18/16 4:00 {c |}{res}         20        0.12       82.99
{txt} 5/18/16 4:11 {c |}{res}         20        0.12       83.11
{txt} 5/18/16 4:17 {c |}{res}         20        0.12       83.23
{txt} 5/18/16 5:16 {c |}{res}         20        0.12       83.35
{txt} 5/18/16 5:18 {c |}{res}         20        0.12       83.47
{txt} 5/18/16 5:19 {c |}{res}         20        0.12       83.59
{txt} 5/18/16 5:28 {c |}{res}         20        0.12       83.71
{txt} 5/18/16 5:41 {c |}{res}         20        0.12       83.83
{txt} 5/18/16 5:44 {c |}{res}         20        0.12       83.95
{txt} 5/18/16 5:46 {c |}{res}         20        0.12       84.07
{txt} 5/18/16 6:00 {c |}{res}         20        0.12       84.19
{txt} 5/18/16 6:01 {c |}{res}         20        0.12       84.31
{txt} 5/18/16 6:12 {c |}{res}         20        0.12       84.43
{txt} 5/18/16 6:20 {c |}{res}         20        0.12       84.55
{txt} 5/18/16 6:28 {c |}{res}         40        0.24       84.79
{txt} 5/18/16 6:39 {c |}{res}         20        0.12       84.91
{txt} 5/18/16 7:10 {c |}{res}         40        0.24       85.15
{txt} 5/18/16 7:15 {c |}{res}         20        0.12       85.27
{txt} 5/18/16 7:18 {c |}{res}         20        0.12       85.39
{txt} 5/18/16 7:21 {c |}{res}         20        0.12       85.51
{txt} 5/18/16 7:29 {c |}{res}         20        0.12       85.63
{txt} 5/18/16 7:31 {c |}{res}         20        0.12       85.75
{txt} 5/18/16 7:32 {c |}{res}         20        0.12       85.87
{txt} 5/18/16 8:14 {c |}{res}         20        0.12       85.99
{txt} 5/18/16 8:16 {c |}{res}         20        0.12       86.11
{txt} 5/18/16 8:38 {c |}{res}         20        0.12       86.23
{txt} 5/18/16 9:06 {c |}{res}         20        0.12       86.35
{txt} 5/18/16 9:12 {c |}{res}         20        0.12       86.47
{txt} 5/18/16 9:32 {c |}{res}         20        0.12       86.59
{txt} 5/18/16 9:42 {c |}{res}         20        0.12       86.71
{txt} 5/18/16 9:46 {c |}{res}         20        0.12       86.83
{txt} 5/18/16 9:58 {c |}{res}         20        0.12       86.95
{txt} 5/19/16 0:30 {c |}{res}         20        0.12       87.07
{txt}5/19/16 13:25 {c |}{res}         20        0.12       87.19
{txt}5/19/16 18:20 {c |}{res}         20        0.12       87.31
{txt} 5/19/16 2:05 {c |}{res}         20        0.12       87.43
{txt} 5/19/16 2:39 {c |}{res}         20        0.12       87.54
{txt} 5/19/16 8:52 {c |}{res}         20        0.12       87.66
{txt}5/20/16 13:02 {c |}{res}         20        0.12       87.78
{txt}5/20/16 14:24 {c |}{res}         20        0.12       87.90
{txt} 5/20/16 6:27 {c |}{res}         20        0.12       88.02
{txt} 5/21/16 0:37 {c |}{res}         20        0.12       88.14
{txt}5/21/16 10:23 {c |}{res}         20        0.12       88.26
{txt}5/21/16 14:41 {c |}{res}         20        0.12       88.38
{txt}5/21/16 14:51 {c |}{res}         20        0.12       88.50
{txt}5/21/16 15:40 {c |}{res}         20        0.12       88.62
{txt}5/21/16 16:07 {c |}{res}         20        0.12       88.74
{txt}5/21/16 18:26 {c |}{res}         20        0.12       88.86
{txt}5/21/16 19:57 {c |}{res}         20        0.12       88.98
{txt}5/21/16 19:58 {c |}{res}         20        0.12       89.10
{txt}5/21/16 20:51 {c |}{res}         20        0.12       89.22
{txt}5/21/16 21:19 {c |}{res}         20        0.12       89.34
{txt}5/21/16 21:46 {c |}{res}         20        0.12       89.46
{txt}5/21/16 22:58 {c |}{res}         20        0.12       89.58
{txt}5/21/16 23:34 {c |}{res}         20        0.12       89.70
{txt} 5/21/16 8:29 {c |}{res}         20        0.12       89.82
{txt} 5/21/16 9:45 {c |}{res}         20        0.12       89.94
{txt}5/22/16 11:28 {c |}{res}         20        0.12       90.06
{txt}5/22/16 12:39 {c |}{res}         20        0.12       90.18
{txt}5/22/16 13:05 {c |}{res}         20        0.12       90.30
{txt}5/22/16 15:04 {c |}{res}         20        0.12       90.42
{txt}5/22/16 15:47 {c |}{res}         20        0.12       90.54
{txt}5/22/16 17:51 {c |}{res}         20        0.12       90.66
{txt}5/22/16 18:51 {c |}{res}         20        0.12       90.78
{txt}5/22/16 19:40 {c |}{res}         20        0.12       90.90
{txt} 5/22/16 1:20 {c |}{res}         20        0.12       91.02
{txt}5/22/16 20:18 {c |}{res}         20        0.12       91.14
{txt}5/22/16 20:52 {c |}{res}         20        0.12       91.26
{txt}5/22/16 21:51 {c |}{res}         20        0.12       91.38
{txt}5/22/16 22:32 {c |}{res}         20        0.12       91.50
{txt} 5/22/16 9:14 {c |}{res}         20        0.12       91.62
{txt}5/23/16 19:57 {c |}{res}         20        0.12       91.74
{txt}5/23/16 20:17 {c |}{res}         20        0.12       91.86
{txt}5/23/16 20:50 {c |}{res}         20        0.12       91.98
{txt}5/23/16 21:34 {c |}{res}         20        0.12       92.10
{txt}5/23/16 22:05 {c |}{res}         20        0.12       92.22
{txt}5/23/16 22:25 {c |}{res}         20        0.12       92.34
{txt}5/23/16 23:18 {c |}{res}         20        0.12       92.46
{txt}5/23/16 23:24 {c |}{res}         20        0.12       92.57
{txt} 5/24/16 0:28 {c |}{res}         20        0.12       92.69
{txt} 5/24/16 0:51 {c |}{res}         20        0.12       92.81
{txt} 5/24/16 1:02 {c |}{res}         20        0.12       92.93
{txt} 5/24/16 1:10 {c |}{res}         20        0.12       93.05
{txt} 5/24/16 1:22 {c |}{res}         20        0.12       93.17
{txt} 5/24/16 2:03 {c |}{res}         20        0.12       93.29
{txt} 5/24/16 2:23 {c |}{res}         20        0.12       93.41
{txt} 5/24/16 2:24 {c |}{res}         20        0.12       93.53
{txt} 5/24/16 4:15 {c |}{res}         20        0.12       93.65
{txt} 5/24/16 6:34 {c |}{res}         20        0.12       93.77
{txt} 5/24/16 7:12 {c |}{res}         20        0.12       93.89
{txt} 5/24/16 9:06 {c |}{res}         20        0.12       94.01
{txt}5/27/16 10:03 {c |}{res}         20        0.12       94.13
{txt}5/27/16 10:05 {c |}{res}         20        0.12       94.25
{txt}5/27/16 10:20 {c |}{res}         20        0.12       94.37
{txt}5/27/16 10:53 {c |}{res}         20        0.12       94.49
{txt}5/27/16 12:03 {c |}{res}         20        0.12       94.61
{txt}5/27/16 12:34 {c |}{res}         20        0.12       94.73
{txt}5/27/16 13:27 {c |}{res}         20        0.12       94.85
{txt}5/27/16 13:33 {c |}{res}         20        0.12       94.97
{txt}5/27/16 13:35 {c |}{res}         20        0.12       95.09
{txt}5/27/16 13:41 {c |}{res}         20        0.12       95.21
{txt}5/27/16 13:53 {c |}{res}         20        0.12       95.33
{txt}5/27/16 14:19 {c |}{res}         20        0.12       95.45
{txt}5/27/16 14:36 {c |}{res}         20        0.12       95.57
{txt}5/27/16 14:44 {c |}{res}         20        0.12       95.69
{txt}5/27/16 14:53 {c |}{res}         20        0.12       95.81
{txt}5/27/16 14:54 {c |}{res}         40        0.24       96.05
{txt}5/27/16 15:08 {c |}{res}         20        0.12       96.17
{txt}5/27/16 15:43 {c |}{res}         20        0.12       96.29
{txt}5/27/16 15:52 {c |}{res}         20        0.12       96.41
{txt}5/27/16 16:50 {c |}{res}         20        0.12       96.53
{txt} 5/27/16 9:25 {c |}{res}         20        0.12       96.65
{txt}5/31/16 15:22 {c |}{res}         40        0.24       96.89
{txt}5/31/16 15:51 {c |}{res}         40        0.24       97.13
{txt}5/31/16 15:55 {c |}{res}         20        0.12       97.25
{txt}5/31/16 16:05 {c |}{res}         20        0.12       97.37
{txt}5/31/16 16:07 {c |}{res}         20        0.12       97.49
{txt}5/31/16 16:10 {c |}{res}         20        0.12       97.60
{txt}5/31/16 16:17 {c |}{res}         20        0.12       97.72
{txt}5/31/16 16:27 {c |}{res}         20        0.12       97.84
{txt}5/31/16 16:32 {c |}{res}         20        0.12       97.96
{txt}5/31/16 16:34 {c |}{res}         20        0.12       98.08
{txt}5/31/16 16:44 {c |}{res}         20        0.12       98.20
{txt}5/31/16 16:56 {c |}{res}         20        0.12       98.32
{txt}5/31/16 16:57 {c |}{res}         20        0.12       98.44
{txt}5/31/16 17:01 {c |}{res}         20        0.12       98.56
{txt}5/31/16 17:12 {c |}{res}         20        0.12       98.68
{txt}5/31/16 17:18 {c |}{res}         20        0.12       98.80
{txt}5/31/16 17:19 {c |}{res}         20        0.12       98.92
{txt}5/31/16 17:23 {c |}{res}         20        0.12       99.04
{txt}5/31/16 17:29 {c |}{res}         20        0.12       99.16
{txt}5/31/16 17:40 {c |}{res}         20        0.12       99.28
{txt}5/31/16 17:43 {c |}{res}         20        0.12       99.40
{txt}5/31/16 17:51 {c |}{res}         20        0.12       99.52
{txt}5/31/16 17:58 {c |}{res}         20        0.12       99.64
{txt}5/31/16 18:11 {c |}{res}         20        0.12       99.76
{txt}5/31/16 18:33 {c |}{res}         20        0.12       99.88
{txt}5/31/16 19:26 {c |}{res}         20        0.12      100.00
{txt}{hline 14}{c +}{hline 35}
        Total {c |}{res}     16,700      100.00

{com}. 
. *Check location

. tab respondent if q8==52

       {txt}respondent {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
R_2gVaABvxYV3RcGN {c |}{res}         20       50.00       50.00
{txt}R_6XVI093iINRu5h3 {c |}{res}         20       50.00      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}         40      100.00

{com}. ***Two respondents reported living outside of US.

. *R_6XVI093iINRu5h3 is in US

. *R_2gVaABvxYV3RcGN is outside of US

. drop if respondent=="R_2gVaABvxYV3RcGN"
{txt}(20 observations deleted)

{com}. 
. 
. ***Race

. *Q7 What racial or ethnic group(s) best describes you?

. *White (1)

. *Black/African American (2)

. *Hispanic/Latino (3)

. *Asian or Pacific Islander (4)

. *Native American (5)

. *Middle Eastern (6)

. *Other (7)

. 
. *Drop non-target groups

. drop if q7_5==1
{txt}(340 observations deleted)

{com}. drop if q7_6==1
{txt}(40 observations deleted)

{com}. drop if q7_7==1
{txt}(280 observations deleted)

{com}. 
. *Generate respondent race 

. gen white=0

. replace white=1 if q7_1==1
{txt}(3,980 real changes made)

{com}. 
. gen black=0

. replace black=1 if q7_2==1
{txt}(4,160 real changes made)

{com}. 
. gen hispanic=0

. replace hispanic=1 if q7_3==1
{txt}(3,960 real changes made)

{com}. 
. gen asian=0

. replace asian=1 if q7_4==1
{txt}(4,200 real changes made)

{com}. 
. *Drop multiracials

. *1 respondent

. drop if white==1 & black==1
{txt}(20 observations deleted)

{com}. 
. *2 respondents

. drop if white==1 & asian==1
{txt}(40 observations deleted)

{com}. 
. *6 respondents

. drop if white==1 & hispanic==1
{txt}(120 observations deleted)

{com}. 
. *0 respondents

. drop if black==1 & asian==1
{txt}(0 observations deleted)

{com}. 
. *4 respondents

. drop if black==1 & hispanic==1
{txt}(80 observations deleted)

{com}. 
. *1 respondent

. drop if asian==1 & hispanic==1 
{txt}(20 observations deleted)

{com}. 
. *Drop 1 person who did not answer the race question

. drop if q7_1==. & q7_2==. & q7_3==. & q7_4==.
{txt}(20 observations deleted)

{com}. 
. 
. ****Saving this data with only those who consented and were retained

. ****This is the data for the replication!

. export delimited using "/Users/daniellelemi/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/PoP Final Accepted Version/Lemi_PoP_Do_Voters_Prefer_Just_Any_Descriptive_Representative_Final.csv", replace
{res}{txt}(note: file /Users/daniellelemi/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/PoP Final Accepted Version/Lemi_PoP_Do_Voters_Prefer_Just_Any_Descriptive_Representative_Final.csv not found)
{txt}file /Users/daniellelemi/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/PoP Final Accepted Version/Lemi_PoP_Do_Voters_Prefer_Just_Any_Descriptive_Representative_Final.csv saved

{com}. 
. ****Cleaning the variables

. clear

. import delimited "/Users/daniellelemi/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/PoP Final Accepted Version/Lemi_PoP_Do_Voters_Prefer_Just_Any_Descriptive_Representative_Final.csv"
{res}{text}(87 vars, 15,720 obs)

{com}. 
. ***Age

. *Q2 What is your age?

. *If What is your age? Is Less Than 18, Then Skip To End of Block

. 
. gen respondent_age=q2

. tab respondent_age

{txt}respondent_ {c |}
        age {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         18 {c |}{res}        400        2.54        2.54
{txt}         19 {c |}{res}        580        3.69        6.23
{txt}         20 {c |}{res}        560        3.56        9.80
{txt}         21 {c |}{res}        660        4.20       13.99
{txt}         22 {c |}{res}        540        3.44       17.43
{txt}         23 {c |}{res}        460        2.93       20.36
{txt}         24 {c |}{res}        480        3.05       23.41
{txt}         25 {c |}{res}        720        4.58       27.99
{txt}         26 {c |}{res}        480        3.05       31.04
{txt}         27 {c |}{res}        620        3.94       34.99
{txt}         28 {c |}{res}        440        2.80       37.79
{txt}         29 {c |}{res}        300        1.91       39.69
{txt}         30 {c |}{res}        540        3.44       43.13
{txt}         31 {c |}{res}        600        3.82       46.95
{txt}         32 {c |}{res}        660        4.20       51.15
{txt}         33 {c |}{res}        440        2.80       53.94
{txt}         34 {c |}{res}        400        2.54       56.49
{txt}         35 {c |}{res}        780        4.96       61.45
{txt}         36 {c |}{res}        340        2.16       63.61
{txt}         37 {c |}{res}        340        2.16       65.78
{txt}         38 {c |}{res}        480        3.05       68.83
{txt}         39 {c |}{res}        340        2.16       70.99
{txt}         40 {c |}{res}        400        2.54       73.54
{txt}         41 {c |}{res}        260        1.65       75.19
{txt}         42 {c |}{res}        380        2.42       77.61
{txt}         43 {c |}{res}        220        1.40       79.01
{txt}         44 {c |}{res}        280        1.78       80.79
{txt}         45 {c |}{res}        120        0.76       81.55
{txt}         46 {c |}{res}        180        1.15       82.70
{txt}         47 {c |}{res}        200        1.27       83.97
{txt}         48 {c |}{res}        160        1.02       84.99
{txt}         49 {c |}{res}        160        1.02       86.01
{txt}         50 {c |}{res}        160        1.02       87.02
{txt}         51 {c |}{res}        100        0.64       87.66
{txt}         52 {c |}{res}        220        1.40       89.06
{txt}         53 {c |}{res}        160        1.02       90.08
{txt}         54 {c |}{res}        240        1.53       91.60
{txt}         55 {c |}{res}        180        1.15       92.75
{txt}         56 {c |}{res}        120        0.76       93.51
{txt}         57 {c |}{res}        180        1.15       94.66
{txt}         58 {c |}{res}         80        0.51       95.17
{txt}         59 {c |}{res}         40        0.25       95.42
{txt}         60 {c |}{res}        120        0.76       96.18
{txt}         61 {c |}{res}         60        0.38       96.56
{txt}         62 {c |}{res}         60        0.38       96.95
{txt}         63 {c |}{res}         40        0.25       97.20
{txt}         64 {c |}{res}         40        0.25       97.46
{txt}         65 {c |}{res}        120        0.76       98.22
{txt}         66 {c |}{res}         40        0.25       98.47
{txt}         67 {c |}{res}         60        0.38       98.85
{txt}         68 {c |}{res}         20        0.13       98.98
{txt}         69 {c |}{res}         60        0.38       99.36
{txt}         70 {c |}{res}         40        0.25       99.62
{txt}         73 {c |}{res}         20        0.13       99.75
{txt}         75 {c |}{res}         20        0.13       99.87
{txt}       1983 {c |}{res}         20        0.13      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. replace respondent_age=2016-respondent_age if respondent_age==1983
{txt}(20 real changes made)

{com}. tab respondent_age q2
{err}too many values
{txt}{search r(134), local:r(134);}

{com}. 
. ***Gender

. *Q3 Are you male or female?

. *Male (1)

. *Female (2)

. 
. tab q3

         {txt}q3 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      8,000       50.89       50.89
{txt}          2 {c |}{res}      7,720       49.11      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. gen woman=0

. replace woman=1 if q3==2
{txt}(7,720 real changes made)

{com}. tab q3 woman

           {txt}{c |}         woman
        q3 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}     8,000          0 {txt}{c |}{res}     8,000 
{txt}         2 {c |}{res}         0      7,720 {txt}{c |}{res}     7,720 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     8,000      7,720 {txt}{c |}{res}    15,720 

{com}. 
. ***English is first language

. *Q4 Is English your first language?

. *Yes (1)

. *No (2)

. gen english=0

. replace english=1 if q4==1
{txt}(13,880 real changes made)

{com}. tab q4 english

           {txt}{c |}        english
        q4 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0     13,880 {txt}{c |}{res}    13,880 
{txt}         2 {c |}{res}     1,840          0 {txt}{c |}{res}     1,840 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,840     13,880 {txt}{c |}{res}    15,720 

{com}. 
. 
. ***Education

. *Q5 What is the highest level of education you have completed?

. *Less than High School (1)

. *High School / GED (2)

. *Some College (3)

. *2-year College Degree (4)

. *4-year College Degree (5)

. *Masters Degree (6)

. *Doctoral Degree (7)

. *Professional Degree (JD, MD) (8)

. gen respondent_ed=q5

. tab q5 respondent_ed

           {txt}{c |}                           respondent_ed
        q5 {c |}         1          2          3          4          5          6 {c |}     Total
{hline 11}{c +}{hline 66}{c +}{hline 10}
         1 {c |}{res}       240          0          0          0          0          0 {txt}{c |}{res}       240 
{txt}         2 {c |}{res}         0      3,480          0          0          0          0 {txt}{c |}{res}     3,480 
{txt}         3 {c |}{res}         0          0      4,460          0          0          0 {txt}{c |}{res}     4,460 
{txt}         4 {c |}{res}         0          0          0      1,580          0          0 {txt}{c |}{res}     1,580 
{txt}         5 {c |}{res}         0          0          0          0      4,340          0 {txt}{c |}{res}     4,340 
{txt}         6 {c |}{res}         0          0          0          0          0      1,180 {txt}{c |}{res}     1,180 
{txt}         7 {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       100 
{txt}         8 {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       340 
{txt}{hline 11}{c +}{hline 66}{c +}{hline 10}
     Total {c |}{res}       240      3,480      4,460      1,580      4,340      1,180 {txt}{c |}{res}    15,720 


           {txt}{c |}     respondent_ed
        q5 {c |}         7          8 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0          0 {txt}{c |}{res}       240 
{txt}         2 {c |}{res}         0          0 {txt}{c |}{res}     3,480 
{txt}         3 {c |}{res}         0          0 {txt}{c |}{res}     4,460 
{txt}         4 {c |}{res}         0          0 {txt}{c |}{res}     1,580 
{txt}         5 {c |}{res}         0          0 {txt}{c |}{res}     4,340 
{txt}         6 {c |}{res}         0          0 {txt}{c |}{res}     1,180 
{txt}         7 {c |}{res}       100          0 {txt}{c |}{res}       100 
{txt}         8 {c |}{res}         0        340 {txt}{c |}{res}       340 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       100        340 {txt}{c |}{res}    15,720 

{com}. 
. 
. ***Income

. *Q6 What is your combined annual household income?

. *Less than 30,000 (1)

. *30,000 – 39,999 (2)

. *40,000 – 49,999 (3)

. *50,000 – 59,999 (4)

. *60,000 – 69,999 (5)

. *70,000 – 79,999 (6)

. *80,000 – 89,999 (7)

. *90,000 – 99,999 (8)

. *100,000 or more (9)

. gen respondent_income=q6
{txt}(20 missing values generated)

{com}. tab q6 respondent_income

           {txt}{c |}                         respondent_income
        q6 {c |}         1          2          3          4          5          6 {c |}     Total
{hline 11}{c +}{hline 66}{c +}{hline 10}
         1 {c |}{res}     4,000          0          0          0          0          0 {txt}{c |}{res}     4,000 
{txt}         2 {c |}{res}         0      1,860          0          0          0          0 {txt}{c |}{res}     1,860 
{txt}         3 {c |}{res}         0          0      1,620          0          0          0 {txt}{c |}{res}     1,620 
{txt}         4 {c |}{res}         0          0          0      1,800          0          0 {txt}{c |}{res}     1,800 
{txt}         5 {c |}{res}         0          0          0          0      1,180          0 {txt}{c |}{res}     1,180 
{txt}         6 {c |}{res}         0          0          0          0          0      1,320 {txt}{c |}{res}     1,320 
{txt}         7 {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       760 
{txt}         8 {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       720 
{txt}         9 {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}     2,440 
{txt}{hline 11}{c +}{hline 66}{c +}{hline 10}
     Total {c |}{res}     4,000      1,860      1,620      1,800      1,180      1,320 {txt}{c |}{res}    15,700 


           {txt}{c |}        respondent_income
        q6 {c |}         7          8          9 {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
         1 {c |}{res}         0          0          0 {txt}{c |}{res}     4,000 
{txt}         2 {c |}{res}         0          0          0 {txt}{c |}{res}     1,860 
{txt}         3 {c |}{res}         0          0          0 {txt}{c |}{res}     1,620 
{txt}         4 {c |}{res}         0          0          0 {txt}{c |}{res}     1,800 
{txt}         5 {c |}{res}         0          0          0 {txt}{c |}{res}     1,180 
{txt}         6 {c |}{res}         0          0          0 {txt}{c |}{res}     1,320 
{txt}         7 {c |}{res}       760          0          0 {txt}{c |}{res}       760 
{txt}         8 {c |}{res}         0        720          0 {txt}{c |}{res}       720 
{txt}         9 {c |}{res}         0          0      2,440 {txt}{c |}{res}     2,440 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}       760        720      2,440 {txt}{c |}{res}    15,700 

{com}. 
. 
. 
. 
. ****Region

. *#https://www2.census.gov/geo/docs/maps-data/maps/reg_div.txt

. *Create region variable by state

. *Q8 In which state do you currently reside?

. *Alabama (1)

. *Alaska (2)

. *Arizona (3)

. *Arkansas (4)

. *California (5)

. *Colorado (6)

. *Connecticut (7)

. *Delaware (8)

. *District of Columbia (9)

. *Florida (10)

. *Georgia (11)

. *Hawaii (12)

. *Idaho (13)

. *Illinois (14)

. *Indiana (15)

. *Iowa (16)

. *Kansas (17)

. *Kentucky (18)

. *Louisiana (19)

. *Maine (20)

. *Maryland (21)

. *Massachusetts (22)

. *Michigan (23)

. *Minnesota (24)

. *Mississippi (25)

. *Missouri (26)

. *Montana (27)

. *Nebraska (28)

. *Nevada (29)

. *New Hampshire (30)

. *New Jersey (31)

. *New Mexico (32)

. *New York (33)

. *North Carolina (34)

. *North Dakota (35)

. *Ohio (36)

. *Oklahoma (37)

. *Oregon (38)

. *Pennsylvania (39)

. *Rhode Island (40)

. *South Carolina (41)

. *South Dakota (42)

. *Tennessee (43)

. *Texas (44)

. *Utah (45)

. *Vermont (46)

. *Virginia (47)

. *Washington (48)

. *West Virginia (49)

. *Wisconsin (50)

. *Wyoming (51)

. *I do not live in the United States (52)

. *If I do not live in the United... Is Selected, Then Skip To End of Block

. 
. gen northeast=0

. replace northeast=1 if q8==7
{txt}(140 real changes made)

{com}. replace northeast=1 if q8==20
{txt}(20 real changes made)

{com}. replace northeast=1 if q8==22
{txt}(280 real changes made)

{com}. replace northeast=1 if q8==30
{txt}(40 real changes made)

{com}. replace northeast=1 if q8==40
{txt}(60 real changes made)

{com}. replace northeast=1 if q8==46
{txt}(0 real changes made)

{com}. replace northeast=1 if q8==31
{txt}(400 real changes made)

{com}. replace northeast=1 if q8==33
{txt}(1,040 real changes made)

{com}. replace northeast=1 if q8==39
{txt}(640 real changes made)

{com}. 
. gen midwest=0

. replace midwest=1 if q8==14
{txt}(920 real changes made)

{com}. replace midwest=1 if q8==15
{txt}(160 real changes made)

{com}. replace midwest=1 if q8==23
{txt}(440 real changes made)

{com}. replace midwest=1 if q8==36
{txt}(520 real changes made)

{com}. replace midwest=1 if q8==50
{txt}(140 real changes made)

{com}. replace midwest=1 if q8==16
{txt}(20 real changes made)

{com}. replace midwest=1 if q8==17
{txt}(60 real changes made)

{com}. replace midwest=1 if q8==24
{txt}(60 real changes made)

{com}. replace midwest=1 if q8==26
{txt}(200 real changes made)

{com}. replace midwest=1 if q8==28
{txt}(100 real changes made)

{com}. replace midwest=1 if q8==35
{txt}(0 real changes made)

{com}. replace midwest=1 if q8==42
{txt}(0 real changes made)

{com}. 
. gen south=0

. replace south=1 if q8==8
{txt}(40 real changes made)

{com}. replace south=1 if q8==9
{txt}(20 real changes made)

{com}. replace south=1 if q8==10
{txt}(960 real changes made)

{com}. replace south=1 if q8==11
{txt}(560 real changes made)

{com}. replace south=1 if q8==21
{txt}(260 real changes made)

{com}. replace south=1 if q8==34
{txt}(520 real changes made)

{com}. replace south=1 if q8==41
{txt}(300 real changes made)

{com}. replace south=1 if q8==47
{txt}(320 real changes made)

{com}. replace south=1 if q8==49
{txt}(60 real changes made)

{com}. replace south=1 if q8==1
{txt}(240 real changes made)

{com}. replace south=1 if q8==18
{txt}(220 real changes made)

{com}. replace south=1 if q8==25
{txt}(60 real changes made)

{com}. replace south=1 if q8==43
{txt}(300 real changes made)

{com}. replace south=1 if q8==4
{txt}(200 real changes made)

{com}. replace south=1 if q8==19
{txt}(160 real changes made)

{com}. replace south=1 if q8==37
{txt}(80 real changes made)

{com}. replace south=1 if q8==44
{txt}(1,240 real changes made)

{com}. 
. gen west=0

. replace west=1 if q8==3
{txt}(220 real changes made)

{com}. replace west=1 if q8==6
{txt}(280 real changes made)

{com}. replace west=1 if q8==13
{txt}(60 real changes made)

{com}. replace west=1 if q8==27
{txt}(40 real changes made)

{com}. replace west=1 if q8==29
{txt}(220 real changes made)

{com}. replace west=1 if q8==32
{txt}(180 real changes made)

{com}. replace west=1 if q8==45
{txt}(80 real changes made)

{com}. replace west=1 if q8==51
{txt}(0 real changes made)

{com}. replace west=1 if q8==2
{txt}(20 real changes made)

{com}. replace west=1 if q8==5
{txt}(3,080 real changes made)

{com}. replace west=1 if q8==12
{txt}(180 real changes made)

{com}. replace west=1 if q8==38
{txt}(300 real changes made)

{com}. replace west=1 if q8==48
{txt}(240 real changes made)

{com}. 
. ***Party ID

. *Q11 Generally speaking, do you think of yourself as a Democrat, a Republican, an Independent, or something else? 

. *Democrat (1)

. *Republican (2)

. *Independent (3)

. *Something else (4)

. gen democrat=0

. replace democrat=1 if q11==1
{txt}(8,420 real changes made)

{com}. tab q11 democrat

           {txt}{c |}       democrat
       q11 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0      8,420 {txt}{c |}{res}     8,420 
{txt}         2 {c |}{res}     2,820          0 {txt}{c |}{res}     2,820 
{txt}         3 {c |}{res}     3,540          0 {txt}{c |}{res}     3,540 
{txt}         4 {c |}{res}       940          0 {txt}{c |}{res}       940 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     7,300      8,420 {txt}{c |}{res}    15,720 

{com}. 
. gen republican=0

. replace republican=1 if q11==2
{txt}(2,820 real changes made)

{com}. tab q11 republican

           {txt}{c |}      republican
       q11 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}     8,420          0 {txt}{c |}{res}     8,420 
{txt}         2 {c |}{res}         0      2,820 {txt}{c |}{res}     2,820 
{txt}         3 {c |}{res}     3,540          0 {txt}{c |}{res}     3,540 
{txt}         4 {c |}{res}       940          0 {txt}{c |}{res}       940 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}    12,900      2,820 {txt}{c |}{res}    15,720 

{com}. 
. gen independent=0

. replace independent=1 if q11==3
{txt}(3,540 real changes made)

{com}. tab q11 independent

           {txt}{c |}      independent
       q11 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}     8,420          0 {txt}{c |}{res}     8,420 
{txt}         2 {c |}{res}     2,820          0 {txt}{c |}{res}     2,820 
{txt}         3 {c |}{res}         0      3,540 {txt}{c |}{res}     3,540 
{txt}         4 {c |}{res}       940          0 {txt}{c |}{res}       940 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}    12,180      3,540 {txt}{c |}{res}    15,720 

{com}. 
. gen partyelse=0

. replace partyelse=1 if q11==4
{txt}(940 real changes made)

{com}. tab q11 partyelse

           {txt}{c |}       partyelse
       q11 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}     8,420          0 {txt}{c |}{res}     8,420 
{txt}         2 {c |}{res}     2,820          0 {txt}{c |}{res}     2,820 
{txt}         3 {c |}{res}     3,540          0 {txt}{c |}{res}     3,540 
{txt}         4 {c |}{res}         0        940 {txt}{c |}{res}       940 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}    14,780        940 {txt}{c |}{res}    15,720 

{com}. 
. ***Ideology

. *Q15 Thinking about politics these days, how would you describe your own political viewpoint?

. *Very liberal (1)

. *Liberal (9)

. *Moderate/Middle-of-the-Road (10)

. *Conservative (11)

. *Very conservative (12)

. *Not Sure (13)

. gen respondent_ideology=q15

. replace respondent_ideology=. if q15==13
{txt}(1,280 real changes made, 1,280 to missing)

{com}. replace respondent_ideology=2 if q15==9
{txt}(4,200 real changes made)

{com}. replace respondent_ideology=3 if q15==10
{txt}(5,460 real changes made)

{com}. replace respondent_ideology=4 if q15==11
{txt}(2,540 real changes made)

{com}. replace respondent_ideology=5 if q15==12
{txt}(380 real changes made)

{com}. tab respondent_ideology q15

{txt}respondent {c |}                          q15
 _ideology {c |}         1          9         10         11         12 {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         1 {c |}{res}     1,860          0          0          0          0 {txt}{c |}{res}     1,860 
{txt}         2 {c |}{res}         0      4,200          0          0          0 {txt}{c |}{res}     4,200 
{txt}         3 {c |}{res}         0          0      5,460          0          0 {txt}{c |}{res}     5,460 
{txt}         4 {c |}{res}         0          0          0      2,540          0 {txt}{c |}{res}     2,540 
{txt}         5 {c |}{res}         0          0          0          0        380 {txt}{c |}{res}       380 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}     1,860      4,200      5,460      2,540        380 {txt}{c |}{res}    14,440 

{com}. 
. gen ideonotsure=0

. replace ideonotsure=1 if q15==13
{txt}(1,280 real changes made)

{com}. tab q15 ideonotsure 

           {txt}{c |}      ideonotsure
       q15 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}     1,860          0 {txt}{c |}{res}     1,860 
{txt}         9 {c |}{res}     4,200          0 {txt}{c |}{res}     4,200 
{txt}        10 {c |}{res}     5,460          0 {txt}{c |}{res}     5,460 
{txt}        11 {c |}{res}     2,540          0 {txt}{c |}{res}     2,540 
{txt}        12 {c |}{res}       380          0 {txt}{c |}{res}       380 
{txt}        13 {c |}{res}         0      1,280 {txt}{c |}{res}     1,280 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}    14,440      1,280 {txt}{c |}{res}    15,720 

{com}. 
. ****Linked Fate

. **Create overall linked fate variable

. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q40 Do you think that what happens to White people in this country will have something to do with what happens in your life?

. *Yes (1)

. *No (2)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q41 Do you think that what happens to Black people in this country will have something to do with what happens in your life?

. *Yes (1)

. *No (2)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q42 Do you think that what happens to Hispanic people in this country will have something to do with what happens in your life?

. *Yes (1)

. *No (2)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q43 Do you think that what happens to Asian or Pacific Islander people in this country will have something to do with what happens in your life?

. *Yes (1)

. *No (2)

. 
. gen racial_linkedfate=0

. replace racial_linkedfate=1 if q40==1 
{txt}(2,380 real changes made)

{com}. replace racial_linkedfate=1 if q41==1 
{txt}(3,140 real changes made)

{com}. replace racial_linkedfate=1 if q42==1 
{txt}(2,560 real changes made)

{com}. replace racial_linkedfate=1 if q43==1
{txt}(2,920 real changes made)

{com}. 
. tab q40 racial_linkedfate 

           {txt}{c |}   racial_linkedfate
       q40 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0      2,380 {txt}{c |}{res}     2,380 
{txt}         2 {c |}{res}     1,420          0 {txt}{c |}{res}     1,420 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,420      2,380 {txt}{c |}{res}     3,800 

{com}. tab q41 racial_linkedfate 

           {txt}{c |}   racial_linkedfate
       q41 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0      3,140 {txt}{c |}{res}     3,140 
{txt}         2 {c |}{res}       920          0 {txt}{c |}{res}       920 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       920      3,140 {txt}{c |}{res}     4,060 

{com}. tab q42 racial_linkedfate 

           {txt}{c |}   racial_linkedfate
       q42 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0      2,560 {txt}{c |}{res}     2,560 
{txt}         2 {c |}{res}     1,160          0 {txt}{c |}{res}     1,160 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,160      2,560 {txt}{c |}{res}     3,720 

{com}. tab q43 racial_linkedfate 

           {txt}{c |}   racial_linkedfate
       q43 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0      2,920 {txt}{c |}{res}     2,920 
{txt}         2 {c |}{res}     1,220          0 {txt}{c |}{res}     1,220 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,220      2,920 {txt}{c |}{res}     4,140 

{com}. 
. tab q40 racial_linkedfate if white==1

           {txt}{c |}   racial_linkedfate
       q40 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0      2,380 {txt}{c |}{res}     2,380 
{txt}         2 {c |}{res}     1,420          0 {txt}{c |}{res}     1,420 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,420      2,380 {txt}{c |}{res}     3,800 

{com}. tab q41 racial_linkedfate if black==1

           {txt}{c |}   racial_linkedfate
       q41 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0      3,140 {txt}{c |}{res}     3,140 
{txt}         2 {c |}{res}       920          0 {txt}{c |}{res}       920 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       920      3,140 {txt}{c |}{res}     4,060 

{com}. tab q42 racial_linkedfate if hispanic==1

           {txt}{c |}   racial_linkedfate
       q42 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0      2,560 {txt}{c |}{res}     2,560 
{txt}         2 {c |}{res}     1,160          0 {txt}{c |}{res}     1,160 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,160      2,560 {txt}{c |}{res}     3,720 

{com}. tab q43 racial_linkedfate if asian==1

           {txt}{c |}   racial_linkedfate
       q43 {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         1 {c |}{res}         0      2,920 {txt}{c |}{res}     2,920 
{txt}         2 {c |}{res}     1,220          0 {txt}{c |}{res}     1,220 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     1,220      2,920 {txt}{c |}{res}     4,140 

{com}. 
. 
. ***Identification with a Psychological Group 

. *Adding items for each racial group 

. *Higher values indicate more identification with the group for a total of 70 points

. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q52 When someone criticizes Whites, it feels like a personal insult. 

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q53 I don't act like the typical White person. 

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q54 I'm very interested in what others think about Whites.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q55 The limitations associated with Whites apply to me also.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q56 When I talk about Whites, I usually say "we" rather than "they."

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q57 I have a number of qualities typical of Whites.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q58 The successes of Whites are my successes.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q59 If a story in the media criticized Whites, I would feel embarrassed.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q60 When someone praises Whites, it feels like a personal compliment.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? White Is Selected

. *Q61 I act like a White person to a great extent.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q62 When someone criticizes Blacks, it feels like a personal insult. 

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q63 I don't act like the typical Black person. 

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q64 I'm very interested in what others think about Blacks.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q65 The limitations associated with Blacks apply to me also.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q66 When I talk about Blacks, I usually say "we" rather than "they."

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q67 I have a number of qualities typical of Blacks.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q68 The successes of Blacks are my successes.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q69 If a story in the media criticized Blacks, I would feel embarrassed.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q70 When someone praises Blacks, it feels like a personal compliment.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Black/African American Is Selected

. *Q71 I act like a Black person to a great extent.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q72 When someone criticizes Asians or Pacific Islanders, it feels like a personal insult. 

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q73 I don't act like the typical Asian or Pacific Islander person. 

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q74 I'm very interested in what others think about Asians or Pacific Islanders.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q75 The limitations associated with Asians or Pacific Islanders apply to me also.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q76 When I talk about Asians or Pacific Islanders, I usually say "we" rather than "they."

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q77 I have a number of qualities typical of Asians or Pacific Islanders.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q78 The successes of Asians or Pacific Islanders are my successes.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q79 If a story in the media criticized Asians or Pacific Islanders, I would feel embarrassed.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q80 When someone praises Asians or Pacific Islanders, it feels like a personal compliment.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Asian or Pacific Islander Is Selected

. *Q81 I act like an Asian or Pacific Islander person to a great extent.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q82 When someone criticizes Hispanics, it feels like a personal insult. 

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q83 I don't act like the typical Hispanic person. 

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q84 I'm very interested in what others think about Hispanics.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q85 The limitations associated with Hispanics apply to me also.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q86 When I talk about Hispanics, I usually say "we" rather than "they."

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q87 I have a number of qualities typical of Hispanics.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q88 The successes of Hispanics are my successes.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q89 If a story in the media criticized Hispanics, I would feel embarrassed.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q90 When someone praises Hispanics, it feels like a personal compliment.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. *Answer If What racial or ethnic group(s) best describes you? Hispanic/Latino Is Selected

. *Q91 I act like a Hispanic person to a great extent.

. *Strongly disagree (1)

. *Disagree (2)

. *Somewhat disagree (3)

. *Neither agree nor disagree (4)

. *Somewhat agree (5)

. *Agree (6)

. *Strongly agree (7)

. 
. 
. *rescale the first item: I don't act like the typical X person

. gen white_typical=8-q53
{txt}(11,920 missing values generated)

{com}. tab q53 white_typical

           {txt}{c |}                           white_typical
       q53 {c |}         1          2          3          4          5          6 {c |}     Total
{hline 11}{c +}{hline 66}{c +}{hline 10}
         1 {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       300 
{txt}         2 {c |}{res}         0          0          0          0          0        260 {txt}{c |}{res}       260 
{txt}         3 {c |}{res}         0          0          0          0        500          0 {txt}{c |}{res}       500 
{txt}         4 {c |}{res}         0          0          0      1,420          0          0 {txt}{c |}{res}     1,420 
{txt}         5 {c |}{res}         0          0        500          0          0          0 {txt}{c |}{res}       500 
{txt}         6 {c |}{res}         0        500          0          0          0          0 {txt}{c |}{res}       500 
{txt}         7 {c |}{res}       320          0          0          0          0          0 {txt}{c |}{res}       320 
{txt}{hline 11}{c +}{hline 66}{c +}{hline 10}
     Total {c |}{res}       320        500        500      1,420        500        260 {txt}{c |}{res}     3,800 


           {txt}{c |} white_typi
           {c |}    cal
       q53 {c |}         7 {c |}     Total
{hline 11}{c +}{hline 11}{c +}{hline 10}
         1 {c |}{res}       300 {txt}{c |}{res}       300 
{txt}         2 {c |}{res}         0 {txt}{c |}{res}       260 
{txt}         3 {c |}{res}         0 {txt}{c |}{res}       500 
{txt}         4 {c |}{res}         0 {txt}{c |}{res}     1,420 
{txt}         5 {c |}{res}         0 {txt}{c |}{res}       500 
{txt}         6 {c |}{res}         0 {txt}{c |}{res}       500 
{txt}         7 {c |}{res}         0 {txt}{c |}{res}       320 
{txt}{hline 11}{c +}{hline 11}{c +}{hline 10}
     Total {c |}{res}       300 {txt}{c |}{res}     3,800 

{com}. 
. gen black_typical=8-q63
{txt}(11,680 missing values generated)

{com}. tab q63 black_typical

           {txt}{c |}                           black_typical
       q63 {c |}         1          2          3          4          5          6 {c |}     Total
{hline 11}{c +}{hline 66}{c +}{hline 10}
         1 {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       560 
{txt}         2 {c |}{res}         0          0          0          0          0        240 {txt}{c |}{res}       240 
{txt}         3 {c |}{res}         0          0          0          0        260          0 {txt}{c |}{res}       260 
{txt}         4 {c |}{res}         0          0          0      1,520          0          0 {txt}{c |}{res}     1,520 
{txt}         5 {c |}{res}         0          0        400          0          0          0 {txt}{c |}{res}       400 
{txt}         6 {c |}{res}         0        460          0          0          0          0 {txt}{c |}{res}       460 
{txt}         7 {c |}{res}       600          0          0          0          0          0 {txt}{c |}{res}       600 
{txt}{hline 11}{c +}{hline 66}{c +}{hline 10}
     Total {c |}{res}       600        460        400      1,520        260        240 {txt}{c |}{res}     4,040 


           {txt}{c |} black_typi
           {c |}    cal
       q63 {c |}         7 {c |}     Total
{hline 11}{c +}{hline 11}{c +}{hline 10}
         1 {c |}{res}       560 {txt}{c |}{res}       560 
{txt}         2 {c |}{res}         0 {txt}{c |}{res}       240 
{txt}         3 {c |}{res}         0 {txt}{c |}{res}       260 
{txt}         4 {c |}{res}         0 {txt}{c |}{res}     1,520 
{txt}         5 {c |}{res}         0 {txt}{c |}{res}       400 
{txt}         6 {c |}{res}         0 {txt}{c |}{res}       460 
{txt}         7 {c |}{res}         0 {txt}{c |}{res}       600 
{txt}{hline 11}{c +}{hline 11}{c +}{hline 10}
     Total {c |}{res}       560 {txt}{c |}{res}     4,040 

{com}. 
. gen asian_typical=8-q73
{txt}(11,580 missing values generated)

{com}. tab q73 asian_typical

           {txt}{c |}                           asian_typical
       q73 {c |}         1          2          3          4          5          6 {c |}     Total
{hline 11}{c +}{hline 66}{c +}{hline 10}
         1 {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       180 
{txt}         2 {c |}{res}         0          0          0          0          0        420 {txt}{c |}{res}       420 
{txt}         3 {c |}{res}         0          0          0          0        660          0 {txt}{c |}{res}       660 
{txt}         4 {c |}{res}         0          0          0      1,100          0          0 {txt}{c |}{res}     1,100 
{txt}         5 {c |}{res}         0          0        680          0          0          0 {txt}{c |}{res}       680 
{txt}         6 {c |}{res}         0        700          0          0          0          0 {txt}{c |}{res}       700 
{txt}         7 {c |}{res}       400          0          0          0          0          0 {txt}{c |}{res}       400 
{txt}{hline 11}{c +}{hline 66}{c +}{hline 10}
     Total {c |}{res}       400        700        680      1,100        660        420 {txt}{c |}{res}     4,140 


           {txt}{c |} asian_typi
           {c |}    cal
       q73 {c |}         7 {c |}     Total
{hline 11}{c +}{hline 11}{c +}{hline 10}
         1 {c |}{res}       180 {txt}{c |}{res}       180 
{txt}         2 {c |}{res}         0 {txt}{c |}{res}       420 
{txt}         3 {c |}{res}         0 {txt}{c |}{res}       660 
{txt}         4 {c |}{res}         0 {txt}{c |}{res}     1,100 
{txt}         5 {c |}{res}         0 {txt}{c |}{res}       680 
{txt}         6 {c |}{res}         0 {txt}{c |}{res}       700 
{txt}         7 {c |}{res}         0 {txt}{c |}{res}       400 
{txt}{hline 11}{c +}{hline 11}{c +}{hline 10}
     Total {c |}{res}       180 {txt}{c |}{res}     4,140 

{com}. 
. gen hispanic_typical=8-q83
{txt}(12,000 missing values generated)

{com}. tab q83 hispanic_typical

           {txt}{c |}                         hispanic_typical
       q83 {c |}         1          2          3          4          5          6 {c |}     Total
{hline 11}{c +}{hline 66}{c +}{hline 10}
         1 {c |}{res}         0          0          0          0          0          0 {txt}{c |}{res}       380 
{txt}         2 {c |}{res}         0          0          0          0          0        260 {txt}{c |}{res}       260 
{txt}         3 {c |}{res}         0          0          0          0        540          0 {txt}{c |}{res}       540 
{txt}         4 {c |}{res}         0          0          0      1,060          0          0 {txt}{c |}{res}     1,060 
{txt}         5 {c |}{res}         0          0        580          0          0          0 {txt}{c |}{res}       580 
{txt}         6 {c |}{res}         0        360          0          0          0          0 {txt}{c |}{res}       360 
{txt}         7 {c |}{res}       540          0          0          0          0          0 {txt}{c |}{res}       540 
{txt}{hline 11}{c +}{hline 66}{c +}{hline 10}
     Total {c |}{res}       540        360        580      1,060        540        260 {txt}{c |}{res}     3,720 


           {txt}{c |} hispanic_t
           {c |}   ypical
       q83 {c |}         7 {c |}     Total
{hline 11}{c +}{hline 11}{c +}{hline 10}
         1 {c |}{res}       380 {txt}{c |}{res}       380 
{txt}         2 {c |}{res}         0 {txt}{c |}{res}       260 
{txt}         3 {c |}{res}         0 {txt}{c |}{res}       540 
{txt}         4 {c |}{res}         0 {txt}{c |}{res}     1,060 
{txt}         5 {c |}{res}         0 {txt}{c |}{res}       580 
{txt}         6 {c |}{res}         0 {txt}{c |}{res}       360 
{txt}         7 {c |}{res}         0 {txt}{c |}{res}       540 
{txt}{hline 11}{c +}{hline 11}{c +}{hline 10}
     Total {c |}{res}       380 {txt}{c |}{res}     3,720 

{com}. 
. gen white_identity=.
{txt}(15,720 missing values generated)

{com}. replace white_identity=q52 + white_typical + q54 + q55 + q56 + q57 + q58 + q59 + q60 + q61  if white==1
{txt}(3,780 real changes made)

{com}. alpha q52 white_typical q54 q55 q56 q57 q58 q59 q60 q61

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .6573799
{txt}Number of items in the scale:{col 34}{res}       10
{txt}Scale reliability coefficient:{col 34}{res}   0.7845

{com}. 
. gen black_identity=.
{txt}(15,720 missing values generated)

{com}. replace black_identity=q62 + black_typical + q64 + q65 + q66 + q67 + q68 + q69 + q70 + q71 if black==1
{txt}(4,020 real changes made)

{com}. alpha q62 black_typical q64 q65 q66 q67 q68 q69 q70 q71

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .7210646
{txt}Number of items in the scale:{col 34}{res}       10
{txt}Scale reliability coefficient:{col 34}{res}   0.7468

{com}. 
. gen asian_identity=.
{txt}(15,720 missing values generated)

{com}. replace asian_identity=q72 + asian_typical + q74 + q75 + q76 + q77 + q78 + q79 + q80 + q81 if asian==1
{txt}(4,120 real changes made)

{com}. alpha q72 asian_typical q74 q75 q76 q77 q78 q79 q80 q81

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .6885228
{txt}Number of items in the scale:{col 34}{res}       10
{txt}Scale reliability coefficient:{col 34}{res}   0.8220

{com}. 
. gen hispanic_identity=.
{txt}(15,720 missing values generated)

{com}. replace hispanic_identity=q82 + hispanic_typical + q84 + q85 + q86 + q87 + q88 + q89 + q90 + q91 if hispanic==1
{txt}(3,720 real changes made)

{com}. alpha q82 hispanic_typical q84 q85 q86 q87 q88 q89 q90 q91 

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .9459898
{txt}Number of items in the scale:{col 34}{res}       10
{txt}Scale reliability coefficient:{col 34}{res}   0.8334

{com}. 
. gen all_identity =.
{txt}(15,720 missing values generated)

{com}. replace all_identity= white_identity if white==1
{txt}(3,780 real changes made)

{com}. replace all_identity= black_identity if black==1
{txt}(4,020 real changes made)

{com}. replace all_identity= asian_identity if asian==1
{txt}(4,120 real changes made)

{com}. replace all_identity=hispanic_identity if hispanic==1
{txt}(3,720 real changes made)

{com}. 
. tab all_identity white_identity if white==1
{err}too many values
{txt}{search r(134), local:r(134);}

{com}. tab all_identity black_identity if black==1
{err}too many values
{txt}{search r(134), local:r(134);}

{com}. tab all_identity asian_identity if asian==1
{err}too many values
{txt}{search r(134), local:r(134);}

{com}. tab all_identity hispanic_identity if hispanic==1
{err}too many values
{txt}{search r(134), local:r(134);}

{com}. 
. 
. *****Cleaning the conjoint 

. ****Add numerical values to the candidate attributes

. replace gender="1" if gender=="Male"
{txt}(7,851 real changes made)

{com}. replace gender="2" if gender=="Female"
{txt}(7,869 real changes made)

{com}. destring gender, replace
{txt}gender: all characters numeric; {res}replaced {txt}as {res}byte

{com}. label define gender 1 "Male" 2 "Female"

. label values gender gender

. 
. *race

. replace race="1" if race=="White"
{txt}(1,598 real changes made)

{com}. replace race="2" if race=="Black"
{txt}(1,620 real changes made)

{com}. replace race="3" if race=="Asian"
{txt}(1,560 real changes made)

{com}. replace race="4" if race=="Hispanic"
{txt}(1,616 real changes made)

{com}. replace race="5" if race=="Black and White"
{txt}(1,606 real changes made)

{com}. replace race="6" if race=="Black and Asian"
{txt}(1,605 real changes made)

{com}. replace race="7" if race=="Black and Hispanic"
{txt}(1,562 real changes made)

{com}. replace race="8" if race=="Asian and Hispanic"
{txt}(1,543 real changes made)

{com}. replace race="9" if race=="Asian and White"
{txt}(1,534 real changes made)

{com}. replace race="10" if race=="Hispanic and White"
{txt}(1,476 real changes made)

{com}. destring race, replace
{txt}race: all characters numeric; {res}replaced {txt}as {res}byte

{com}. label define race 1 "White" 2 "Black" 3 "Asian" 4 "Hispanic" 5 "Black and White" 6 "Black and Asian" 7 "Black and Hispanic" 8 "Asian and Hispanic" 9 "Asian and White" 10 "Hispanic and White"

. label values race race 

. 
. *ideology

. replace ideology="1" if ideology=="Liberal"
{txt}(5,234 real changes made)

{com}. replace ideology="2" if ideology=="Moderate"
{txt}(5,224 real changes made)

{com}. replace ideology="3" if ideology=="Conservative"
{txt}(5,262 real changes made)

{com}. destring ideology, replace
{txt}ideology: all characters numeric; {res}replaced {txt}as {res}byte

{com}. label define ideology 1 "Liberal" 2 "Moderate" 3 "Conservative"

. label values ideology ideology

. 
. *nativity 

. replace nativity="1" if nativity=="Born in the U.S."
{txt}(7,895 real changes made)

{com}. replace nativity="2" if nativity=="Born Outside the U.S."
{txt}(7,825 real changes made)

{com}. destring nativity, replace
{txt}nativity: all characters numeric; {res}replaced {txt}as {res}byte

{com}. label define nativity 1 "Born in the U.S." 2 "Born Outside the U.S."

. label values nativity nativity

. 
. *party

. replace party="1" if party=="Democrat"
{txt}(5,185 real changes made)

{com}. replace party="2" if party=="Republican"
{txt}(5,226 real changes made)

{com}. replace party="3" if party=="Independent"
{txt}(5,309 real changes made)

{com}. destring party, replace
{txt}party: all characters numeric; {res}replaced {txt}as {res}byte

{com}. label define party 1 "Democrat" 2 "Republican" 3 "Independent" 

. label values party party 

. 
. *experience

. replace experience="1" if experience=="Served in Congress"
{txt}(5,172 real changes made)

{com}. replace experience="2" if experience=="Served in City Council"
{txt}(5,293 real changes made)

{com}. replace experience="3" if experience=="Served in the State Legislature"
{txt}(5,255 real changes made)

{com}. destring experience, replace
{txt}experience: all characters numeric; {res}replaced {txt}as {res}byte

{com}. label define experience 1 "Served in Congress" 2 "Served in City Council" 3 "Served in the State Legislature"

. label values experience experience

. 
. *selected

. replace selected=1 if selected==1
{txt}(0 real changes made)

{com}. replace selected=0 if selected==0
{txt}(0 real changes made)

{com}. replace selected=. if selected==.
{txt}(0 real changes made)

{com}. destring selected, replace
{txt}selected already numeric; no {res}replace

{com}. label define selected 1 "Selected" 0 "Not Selected"

. label values selected selected

. 
. 
. 
. ***This is the analysis. 

. ***Table A4: Descriptive statistics of sample

. tab white

      {txt}white {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     11,920       75.83       75.83
{txt}          1 {c |}{res}      3,800       24.17      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. tab black

      {txt}black {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     11,660       74.17       74.17
{txt}          1 {c |}{res}      4,060       25.83      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. tab asian

      {txt}asian {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     11,580       73.66       73.66
{txt}          1 {c |}{res}      4,140       26.34      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. tab hispanic

   {txt}hispanic {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     12,000       76.34       76.34
{txt}          1 {c |}{res}      3,720       23.66      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. tab respondent

       {txt}respondent {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
R_00OeO9x6HN1GDyZ {c |}{res}         20        0.13        0.13
{txt}R_02GU6eO50vv8BaB {c |}{res}         20        0.13        0.25
{txt}R_02PS3sGs921dvGB {c |}{res}         20        0.13        0.38
{txt}R_02uia2BgXeqfQah {c |}{res}         20        0.13        0.51
{txt}R_032VHm88wv7J0Gx {c |}{res}         20        0.13        0.64
{txt}R_0697LBMjyKUpHjT {c |}{res}         20        0.13        0.76
{txt}R_06gm79THukxP069 {c |}{res}         20        0.13        0.89
{txt}R_08GWr0eOjYjIZmt {c |}{res}         20        0.13        1.02
{txt}R_08Kb4YgSRygkQhD {c |}{res}         20        0.13        1.15
{txt}R_09Ah5C1DBeY71Zz {c |}{res}         20        0.13        1.27
{txt}R_09eY8VGkAZvGtoN {c |}{res}         20        0.13        1.40
{txt}R_09eqrNsRT6FeO0d {c |}{res}         20        0.13        1.53
{txt}R_09yRmYBPiNVDR9X {c |}{res}         20        0.13        1.65
{txt}R_0AmGAoxgmLAqsJf {c |}{res}         20        0.13        1.78
{txt}R_0AmPqPMDU5YDK5v {c |}{res}         20        0.13        1.91
{txt}R_0AszqrnXx1Ztx9X {c |}{res}         20        0.13        2.04
{txt}R_0BZmvzKlGtIYdsV {c |}{res}         20        0.13        2.16
{txt}R_0CHy2LWNzJ8u0u1 {c |}{res}         20        0.13        2.29
{txt}R_0CfhP7O4hR8dZ3f {c |}{res}         20        0.13        2.42
{txt}R_0CgK82niEpudH1P {c |}{res}         20        0.13        2.54
{txt}R_0D4VjlhEA3OmTDn {c |}{res}         20        0.13        2.67
{txt}R_0D6jGs17Q4Hj7lH {c |}{res}         20        0.13        2.80
{txt}R_0Do2YGFpfyoezIN {c |}{res}         20        0.13        2.93
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{txt}R_eQLkqvgGqBxcOO1 {c |}{res}         20        0.13       93.00
{txt}R_eQX7n1T7hBiTACF {c |}{res}         20        0.13       93.13
{txt}R_eQijxCN1yTGPctn {c |}{res}         20        0.13       93.26
{txt}R_eR5jUKaY5tCUBnf {c |}{res}         20        0.13       93.38
{txt}R_eRMm6cRqaZp1cMZ {c |}{res}         20        0.13       93.51
{txt}R_eRNh9fsGlFLgIKh {c |}{res}         20        0.13       93.64
{txt}R_eRSmEeWFQjvaVfL {c |}{res}         20        0.13       93.77
{txt}R_eV6Kmd3sChv45hj {c |}{res}         20        0.13       93.89
{txt}R_eV96PulpSWG4CeV {c |}{res}         20        0.13       94.02
{txt}R_eVdE7WZ0s7QTI4B {c |}{res}         20        0.13       94.15
{txt}R_eWZxJT9gkS6xUcl {c |}{res}         20        0.13       94.27
{txt}R_eWhZ8wB2WTw6Rhj {c |}{res}         20        0.13       94.40
{txt}R_eXna75qaFTJAxwx {c |}{res}         20        0.13       94.53
{txt}R_eXub1JiiaVbYnkh {c |}{res}         20        0.13       94.66
{txt}R_eYbWmQKMZLfd3Lv {c |}{res}         20        0.13       94.78
{txt}R_eas8K8XlgIVnB4h {c |}{res}         20        0.13       94.91
{txt}R_ebKgmgA720NHLVP {c |}{res}         20        0.13       95.04
{txt}R_ebapXU26XyHUCa1 {c |}{res}         20        0.13       95.17
{txt}R_eeC0WWbEdk1RRuR {c |}{res}         20        0.13       95.29
{txt}R_eeN4vjws5Yg2zSB {c |}{res}         20        0.13       95.42
{txt}R_eeNEbIaWaiVBBlz {c |}{res}         20        0.13       95.55
{txt}R_efH4LdvvjmblZVH {c |}{res}         20        0.13       95.67
{txt}R_efIIg6o63B3HBsx {c |}{res}         20        0.13       95.80
{txt}R_efyKZHppT8fZdJj {c |}{res}         20        0.13       95.93
{txt}R_eg7BTk1CvtA6Grj {c |}{res}         20        0.13       96.06
{txt}R_egKM2gPShPjxXz7 {c |}{res}         20        0.13       96.18
{txt}R_egrOHdKvQ4EVwGh {c |}{res}         20        0.13       96.31
{txt}R_eh443J0b6B40lLv {c |}{res}         20        0.13       96.44
{txt}R_ehBTOiBB7WRb5L7 {c |}{res}         20        0.13       96.56
{txt}R_ehNfzLXFLGbJC2p {c |}{res}         20        0.13       96.69
{txt}R_ehad7pAGGXdWYGV {c |}{res}         20        0.13       96.82
{txt}R_ekW11M3L2mGru3X {c |}{res}         20        0.13       96.95
{txt}R_elFEjXrHB2FdmLj {c |}{res}         20        0.13       97.07
{txt}R_elgos5B6xxbtky1 {c |}{res}         20        0.13       97.20
{txt}R_eljIB0wDMJSr4B7 {c |}{res}         20        0.13       97.33
{txt}R_emTSeNEQTQiIipv {c |}{res}         20        0.13       97.46
{txt}R_enQkV2apMON0B6t {c |}{res}         20        0.13       97.58
{txt}R_enT9AD1ECJvvuO9 {c |}{res}         20        0.13       97.71
{txt}R_encnAO4wt80YzmR {c |}{res}         20        0.13       97.84
{txt}R_eqZ60l3cJR8CMnP {c |}{res}         20        0.13       97.96
{txt}R_erH7qmIqduSQHmR {c |}{res}         20        0.13       98.09
{txt}R_ermqHeznEMuEP6l {c |}{res}         20        0.13       98.22
{txt}R_ernBlXaB4NfgldH {c |}{res}         20        0.13       98.35
{txt}R_errQnolTwhfjM8d {c |}{res}         20        0.13       98.47
{txt}R_es2eOXyJEPVxxCl {c |}{res}         20        0.13       98.60
{txt}R_es8VSE436ozMF8N {c |}{res}         20        0.13       98.73
{txt}R_es9yRh51obWwvxX {c |}{res}         20        0.13       98.85
{txt}R_esoyS3t4qgsgmup {c |}{res}         20        0.13       98.98
{txt}R_esxmJtNbg6tMOLX {c |}{res}         20        0.13       99.11
{txt}R_etx40zxcQNz8f5P {c |}{res}         20        0.13       99.24
{txt}R_ewALdZMuhlG2L2d {c |}{res}         20        0.13       99.36
{txt}R_ewEbCI9ysrlR9oV {c |}{res}         20        0.13       99.49
{txt}R_exFe5gvo40aqSbz {c |}{res}         20        0.13       99.62
{txt}R_exMhnEAp7pNPrTv {c |}{res}         20        0.13       99.75
{txt}R_exoVRdUgqOOM6TH {c |}{res}         20        0.13       99.87
{txt}R_ey5zkOOH2yvYCBn {c |}{res}         20        0.13      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}     15,720      100.00

{com}. 
. tab woman if white==1

      {txt}woman {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,940       51.05       51.05
{txt}          1 {c |}{res}      1,860       48.95      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,800      100.00

{com}. tab woman if black==1

      {txt}woman {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,060       50.74       50.74
{txt}          1 {c |}{res}      2,000       49.26      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,060      100.00

{com}. tab woman if asian==1

      {txt}woman {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,120       51.21       51.21
{txt}          1 {c |}{res}      2,020       48.79      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,140      100.00

{com}. tab woman if hispanic==1

      {txt}woman {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,880       50.54       50.54
{txt}          1 {c |}{res}      1,840       49.46      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,720      100.00

{com}. tab woman

      {txt}woman {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      8,000       50.89       50.89
{txt}          1 {c |}{res}      7,720       49.11      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. 
. tab english if white==1

    {txt}english {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         60        1.58        1.58
{txt}          1 {c |}{res}      3,740       98.42      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,800      100.00

{com}. tab english if black==1

    {txt}english {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        120        2.96        2.96
{txt}          1 {c |}{res}      3,940       97.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,060      100.00

{com}. tab english if asian==1

    {txt}english {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        840       20.29       20.29
{txt}          1 {c |}{res}      3,300       79.71      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,140      100.00

{com}. tab english if hispanic==1

    {txt}english {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        820       22.04       22.04
{txt}          1 {c |}{res}      2,900       77.96      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,720      100.00

{com}. tab english

    {txt}english {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,840       11.70       11.70
{txt}          1 {c |}{res}     13,880       88.30      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. 
. sum respondent_age if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
responden~ge {c |}{res}      3,800    38.57895    13.48516         18         75

{com}. sum respondent_age if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
responden~ge {c |}{res}      4,060    34.65517    12.08777         18         67

{com}. sum respondent_age if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
responden~ge {c |}{res}      4,140    33.51208    11.09682         18         70

{com}. sum respondent_age if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
responden~ge {c |}{res}      3,720    31.18817    10.68617         18         68

{com}. sum respondent_age

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
responden~ge {c |}{res}     15,720    34.48219    12.16561         18         75

{com}. 
. sum respondent_income if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
responden~me {c |}{res}      3,800    4.631579    2.840139          1          9

{com}. sum respondent_income if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
responden~me {c |}{res}      4,060    2.990148    2.459808          1          9

{com}. sum respondent_income if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
responden~me {c |}{res}      4,120    5.504854    2.985353          1          9

{com}. sum respondent_income if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
responden~me {c |}{res}      3,720    3.822581    2.533078          1          9

{com}. sum respondent_income

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
responden~me {c |}{res}     15,700    4.244586    2.876979          1          9

{com}. 
. sum respondent_ed if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
respondent~d {c |}{res}      3,800    3.831579    1.480967          1          8

{com}. sum respondent_ed if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
respondent~d {c |}{res}      4,060    3.246305    1.297533          1          8

{com}. sum respondent_ed if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
respondent~d {c |}{res}      4,140    4.396135    1.450674          1          8

{com}. sum respondent_ed if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
respondent~d {c |}{res}      3,720    3.537634    1.485317          1          8

{com}. sum respondent_ed

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
respondent~d {c |}{res}     15,720    3.759542    1.492843          1          8

{com}. 
. tab democrat if white==1

   {txt}democrat {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,280       60.00       60.00
{txt}          1 {c |}{res}      1,520       40.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,800      100.00

{com}. tab democrat if black==1

   {txt}democrat {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        980       24.14       24.14
{txt}          1 {c |}{res}      3,080       75.86      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,060      100.00

{com}. tab democrat if asian==1

   {txt}democrat {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,120       51.21       51.21
{txt}          1 {c |}{res}      2,020       48.79      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,140      100.00

{com}. tab democrat if hispanic==1

   {txt}democrat {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,920       51.61       51.61
{txt}          1 {c |}{res}      1,800       48.39      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,720      100.00

{com}. tab democrat

   {txt}democrat {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      7,300       46.44       46.44
{txt}          1 {c |}{res}      8,420       53.56      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. 
. tab republican if white==1

 {txt}republican {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,680       70.53       70.53
{txt}          1 {c |}{res}      1,120       29.47      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,800      100.00

{com}. tab republican if black==1

 {txt}republican {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,860       95.07       95.07
{txt}          1 {c |}{res}        200        4.93      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,060      100.00

{com}. tab republican if asian==1

 {txt}republican {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,220       77.78       77.78
{txt}          1 {c |}{res}        920       22.22      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,140      100.00

{com}. tab republican if hispanic==1

 {txt}republican {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,140       84.41       84.41
{txt}          1 {c |}{res}        580       15.59      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,720      100.00

{com}. tab republican

 {txt}republican {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     12,900       82.06       82.06
{txt}          1 {c |}{res}      2,820       17.94      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. 
. tab independent if white==1

{txt}independent {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,900       76.32       76.32
{txt}          1 {c |}{res}        900       23.68      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,800      100.00

{com}. tab independent if black==1

{txt}independent {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,460       85.22       85.22
{txt}          1 {c |}{res}        600       14.78      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,060      100.00

{com}. tab independent if asian==1

{txt}independent {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,160       76.33       76.33
{txt}          1 {c |}{res}        980       23.67      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,140      100.00

{com}. tab independent if hispanic==1

{txt}independent {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,660       71.51       71.51
{txt}          1 {c |}{res}      1,060       28.49      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,720      100.00

{com}. tab independent

{txt}independent {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     12,180       77.48       77.48
{txt}          1 {c |}{res}      3,540       22.52      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. 
. tab partyelse if white==1

  {txt}partyelse {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,540       93.16       93.16
{txt}          1 {c |}{res}        260        6.84      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,800      100.00

{com}. tab partyelse if black==1

  {txt}partyelse {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,880       95.57       95.57
{txt}          1 {c |}{res}        180        4.43      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,060      100.00

{com}. tab partyelse if asian==1

  {txt}partyelse {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,920       94.69       94.69
{txt}          1 {c |}{res}        220        5.31      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,140      100.00

{com}. tab partyelse if hispanic==1

  {txt}partyelse {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      3,440       92.47       92.47
{txt}          1 {c |}{res}        280        7.53      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,720      100.00

{com}. tab partyelse

  {txt}partyelse {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     14,780       94.02       94.02
{txt}          1 {c |}{res}        940        5.98      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. 
. sum respondent_ideology if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
respondent~y {c |}{res}      3,620    2.723757    1.025208          1          5

{com}. sum respondent_ideology if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
respondent~y {c |}{res}      3,640    2.593407    1.032349          1          5

{com}. sum respondent_ideology if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
respondent~y {c |}{res}      3,900    2.687179    .9445187          1          5

{com}. sum respondent_ideology if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
respondent~y {c |}{res}      3,280    2.719512    .9600039          1          5

{com}. sum respondent_ideology

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
respondent~y {c |}{res}     14,440    2.680055    .9924522          1          5

{com}. 
. sum ideonotsure if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}ideonotsure {c |}{res}      3,800    .0473684    .2124536          0          1

{com}. sum ideonotsure if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}ideonotsure {c |}{res}      4,060    .1034483     .304581          0          1

{com}. sum ideonotsure if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}ideonotsure {c |}{res}      4,140     .057971    .2337169          0          1

{com}. sum ideonotsure if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}ideonotsure {c |}{res}      3,720    .1182796    .3229823          0          1

{com}. sum ideonotsure

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}ideonotsure {c |}{res}     15,720    .0814249    .2734953          0          1

{com}. 
. sum northeast if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}northeast {c |}{res}      3,800    .1631579    .3695583          0          1

{com}. sum northeast if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}northeast {c |}{res}      4,060    .1773399    .3820031          0          1

{com}. sum northeast if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}northeast {c |}{res}      4,140     .178744    .3831841          0          1

{com}. sum northeast if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}northeast {c |}{res}      3,720    .1451613    .3523107          0          1

{com}. sum northeast

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}northeast {c |}{res}     15,720    .1666667    .3726899          0          1

{com}. 
. sum south if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}south {c |}{res}      3,800    .3736842    .4838449          0          1

{com}. sum south if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}south {c |}{res}      4,060    .4827586    .4997642          0          1

{com}. sum south if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}south {c |}{res}      4,140    .2077295    .4057311          0          1

{com}. sum south if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}south {c |}{res}      3,720    .3494624    .4768643          0          1

{com}. sum south

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}south {c |}{res}     15,720    .3524173    .4777383          0          1

{com}. 
. sum midwest if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}      3,800    .2315789    .4218969          0          1

{com}. sum midwest if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}      4,060    .2216749    .4154246          0          1

{com}. sum midwest if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}      4,140     .115942    .3201941          0          1

{com}. sum midwest if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}      3,720    .0967742    .2956898          0          1

{com}. sum midwest

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}midwest {c |}{res}     15,720    .1666667    .3726899          0          1

{com}. 
. sum west if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}west {c |}{res}      3,800    .2263158    .4185009          0          1

{com}. sum west if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}west {c |}{res}      4,060    .1182266     .322916          0          1

{com}. sum west if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}west {c |}{res}      4,140    .4927536    .5000079          0          1

{com}. sum west if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}west {c |}{res}      3,720    .4086022    .4916415          0          1

{com}. sum west

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}west {c |}{res}     15,720    .3117048    .4632047          0          1

{com}. 
. sum white_identity if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
white_iden~y {c |}{res}      3,780     40.7037    9.173119         10         65

{com}. sum black_identity if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
black_iden~y {c |}{res}      4,020    46.87562    9.841716         15         70

{com}. sum asian_identity if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
asian_iden~y {c |}{res}      4,120    45.63107    9.153001         18         70

{com}. sum hispanic_identity if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
hispanic_i~y {c |}{res}      3,720    45.81183    10.65391         16         70

{com}. sum all_identity

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
all_identity {c |}{res}     15,640    44.80307    9.993519         10         70

{com}. 
. 
. sum racial_linkedfate if white==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
racial_lin~e {c |}{res}      3,800    .6263158    .4838449          0          1

{com}. sum racial_linkedfate if black==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
racial_lin~e {c |}{res}      4,060     .773399    .4186838          0          1

{com}. sum racial_linkedfate if asian==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
racial_lin~e {c |}{res}      4,140     .705314    .4559565          0          1

{com}. sum racial_linkedfate if hispanic==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
racial_lin~e {c |}{res}      3,720     .688172    .4633023          0          1

{com}. sum racial_linkedfate

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
racial_lin~e {c |}{res}     15,720    .6997455    .4583831          0          1

{com}. 
. 
. gen same_party=0

. replace same_party=1 if party==1 & democrat==1
{txt}(2,740 real changes made)

{com}. replace same_party=1 if party==2 & republican==1
{txt}(916 real changes made)

{com}. replace same_party=1 if party==3 & independent==1
{txt}(1,151 real changes made)

{com}. tab same_party party if democrat==1

           {txt}{c |}              party
same_party {c |}  Democrat  Republica  Independe {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
         0 {c |}{res}         0      2,818      2,862 {txt}{c |}{res}     5,680 
{txt}         1 {c |}{res}     2,740          0          0 {txt}{c |}{res}     2,740 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}     2,740      2,818      2,862 {txt}{c |}{res}     8,420 

{com}. tab same_party party if republican==1

           {txt}{c |}              party
same_party {c |}  Democrat  Republica  Independe {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
         0 {c |}{res}       936          0        968 {txt}{c |}{res}     1,904 
{txt}         1 {c |}{res}         0        916          0 {txt}{c |}{res}       916 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}       936        916        968 {txt}{c |}{res}     2,820 

{com}. tab same_party party if independent==1

           {txt}{c |}              party
same_party {c |}  Democrat  Republica  Independe {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
         0 {c |}{res}     1,200      1,189          0 {txt}{c |}{res}     2,389 
{txt}         1 {c |}{res}         0          0      1,151 {txt}{c |}{res}     1,151 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}     1,200      1,189      1,151 {txt}{c |}{res}     3,540 

{com}. 
. label variable same_party "Same Party R"

. label define same_party 0 "Not R's Party" 1 "R's Party"

. label values same_party same_party

. 
. ***Table 1:Frequencies/distributions of candidate race profiles

. tab race

              {txt}race {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
             White {c |}{res}      1,598       10.17       10.17
{txt}             Black {c |}{res}      1,620       10.31       20.47
{txt}             Asian {c |}{res}      1,560        9.92       30.39
{txt}          Hispanic {c |}{res}      1,616       10.28       40.67
{txt}   Black and White {c |}{res}      1,606       10.22       50.89
{txt}   Black and Asian {c |}{res}      1,605       10.21       61.10
{txt}Black and Hispanic {c |}{res}      1,562        9.94       71.04
{txt}Asian and Hispanic {c |}{res}      1,543        9.82       80.85
{txt}   Asian and White {c |}{res}      1,534        9.76       90.61
{txt}Hispanic and White {c |}{res}      1,476        9.39      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}     15,720      100.00

{com}. tab race if white==1

              {txt}race {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
             White {c |}{res}        386       10.16       10.16
{txt}             Black {c |}{res}        402       10.58       20.74
{txt}             Asian {c |}{res}        385       10.13       30.87
{txt}          Hispanic {c |}{res}        366        9.63       40.50
{txt}   Black and White {c |}{res}        376        9.89       50.39
{txt}   Black and Asian {c |}{res}        402       10.58       60.97
{txt}Black and Hispanic {c |}{res}        371        9.76       70.74
{txt}Asian and Hispanic {c |}{res}        386       10.16       80.89
{txt}   Asian and White {c |}{res}        358        9.42       90.32
{txt}Hispanic and White {c |}{res}        368        9.68      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}      3,800      100.00

{com}. tab race if black==1

              {txt}race {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
             White {c |}{res}        401        9.88        9.88
{txt}             Black {c |}{res}        429       10.57       20.44
{txt}             Asian {c |}{res}        398        9.80       30.25
{txt}          Hispanic {c |}{res}        443       10.91       41.16
{txt}   Black and White {c |}{res}        453       11.16       52.32
{txt}   Black and Asian {c |}{res}        384        9.46       61.77
{txt}Black and Hispanic {c |}{res}        396        9.75       71.53
{txt}Asian and Hispanic {c |}{res}        368        9.06       80.59
{txt}   Asian and White {c |}{res}        413       10.17       90.76
{txt}Hispanic and White {c |}{res}        375        9.24      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}      4,060      100.00

{com}. tab race if asian==1

              {txt}race {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
             White {c |}{res}        423       10.22       10.22
{txt}             Black {c |}{res}        425       10.27       20.48
{txt}             Asian {c |}{res}        390        9.42       29.90
{txt}          Hispanic {c |}{res}        444       10.72       40.63
{txt}   Black and White {c |}{res}        422       10.19       50.82
{txt}   Black and Asian {c |}{res}        437       10.56       61.38
{txt}Black and Hispanic {c |}{res}        411        9.93       71.30
{txt}Asian and Hispanic {c |}{res}        415       10.02       81.33
{txt}   Asian and White {c |}{res}        407        9.83       91.16
{txt}Hispanic and White {c |}{res}        366        8.84      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}      4,140      100.00

{com}. tab race if hispanic==1

              {txt}race {c |}      Freq.     Percent        Cum.
{hline 19}{c +}{hline 35}
             White {c |}{res}        388       10.43       10.43
{txt}             Black {c |}{res}        364        9.78       20.22
{txt}             Asian {c |}{res}        387       10.40       30.62
{txt}          Hispanic {c |}{res}        363        9.76       40.38
{txt}   Black and White {c |}{res}        355        9.54       49.92
{txt}   Black and Asian {c |}{res}        382       10.27       60.19
{txt}Black and Hispanic {c |}{res}        384       10.32       70.51
{txt}Asian and Hispanic {c |}{res}        374       10.05       80.56
{txt}   Asian and White {c |}{res}        356        9.57       90.13
{txt}Hispanic and White {c |}{res}        367        9.87      100.00
{txt}{hline 19}{c +}{hline 35}
             Total {c |}{res}      3,720      100.00

{com}. 
. ***Figure 2

. *Marginal means for candidate race, full sample

. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}    15,708
                                                {txt}F(18, 785)        =  {res}    39.70
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0544
                                                {txt}Root MSE          =    {res} .48651

{txt}{ralign 96:(Std. Err. adjusted for {res:786} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0234953{col 44}{space 2} .0084098{col 55}{space 1}    2.79{col 64}{space 3}0.005{col 72}{space 4}  .006987{col 85}{space 3} .0400036
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2} .0253592{col 44}{space 2} .0185668{col 55}{space 1}    1.37{col 64}{space 3}0.172{col 72}{space 4}-.0110873{col 85}{space 3} .0618057
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2}  .036806{col 44}{space 2} .0182221{col 55}{space 1}    2.02{col 64}{space 3}0.044{col 72}{space 4} .0010363{col 85}{space 3} .0725758
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .0273683{col 44}{space 2} .0176862{col 55}{space 1}    1.55{col 64}{space 3}0.122{col 72}{space 4}-.0073495{col 85}{space 3} .0620862
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0654253{col 44}{space 2} .0181235{col 55}{space 1}    3.61{col 64}{space 3}0.000{col 72}{space 4} .0298489{col 85}{space 3} .1010016
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0596483{col 44}{space 2} .0183388{col 55}{space 1}    3.25{col 64}{space 3}0.001{col 72}{space 4} .0236495{col 85}{space 3} .0956471
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .0588766{col 44}{space 2} .0188494{col 55}{space 1}    3.12{col 64}{space 3}0.002{col 72}{space 4} .0218754{col 85}{space 3} .0958779
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .0554616{col 44}{space 2} .0189954{col 55}{space 1}    2.92{col 64}{space 3}0.004{col 72}{space 4} .0181739{col 85}{space 3} .0927493
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2}  .041873{col 44}{space 2} .0180489{col 55}{space 1}    2.32{col 64}{space 3}0.021{col 72}{space 4} .0064433{col 85}{space 3} .0773028
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .0580801{col 44}{space 2} .0187137{col 55}{space 1}    3.10{col 64}{space 3}0.002{col 72}{space 4} .0213453{col 85}{space 3} .0948148
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1210434{col 44}{space 2} .0095602{col 55}{space 1}  -12.66{col 64}{space 3}0.000{col 72}{space 4}  -.13981{col 85}{space 3}-.1022768
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0765035{col 44}{space 2} .0127044{col 55}{space 1}   -6.02{col 64}{space 3}0.000{col 72}{space 4}-.1014421{col 85}{space 3}-.0515649
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0339166{col 44}{space 2} .0114177{col 55}{space 1}    2.97{col 64}{space 3}0.003{col 72}{space 4} .0115037{col 85}{space 3} .0563294
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0045584{col 44}{space 2} .0109751{col 55}{space 1}    0.42{col 64}{space 3}0.678{col 72}{space 4}-.0169856{col 85}{space 3} .0261024
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0768927{col 44}{space 2} .0129801{col 55}{space 1}   -5.92{col 64}{space 3}0.000{col 72}{space 4}-.1023724{col 85}{space 3}-.0514129
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0698527{col 44}{space 2}  .010594{col 55}{space 1}   -6.59{col 64}{space 3}0.000{col 72}{space 4}-.0906485{col 85}{space 3}-.0490568
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0222304{col 44}{space 2} .0096798{col 55}{space 1}   -2.30{col 64}{space 3}0.022{col 72}{space 4}-.0412318{col 85}{space 3} -.003229
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1433501{col 44}{space 2} .0106087{col 55}{space 1}   13.51{col 64}{space 3}0.000{col 72}{space 4} .1225254{col 85}{space 3} .1641748
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}  .531059{col 44}{space 2} .0198996{col 55}{space 1}   26.69{col 64}{space 3}0.000{col 72}{space 4} .4919963{col 85}{space 3} .5701216
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. margins i.race
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}    15,708
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}race {c |}
{space 13}White  {c |}{col 21}{res}{space 2} .4573137{col 33}{space 2}  .012637{col 44}{space 1}   36.19{col 53}{space 3}0.000{col 61}{space 4} .4325073{col 74}{space 3} .4821201
{txt}{space 13}Black  {c |}{col 21}{res}{space 2} .4826729{col 33}{space 2} .0116172{col 44}{space 1}   41.55{col 53}{space 3}0.000{col 61}{space 4} .4598684{col 74}{space 3} .5054775
{txt}{space 13}Asian  {c |}{col 21}{res}{space 2} .4941198{col 33}{space 2} .0120191{col 44}{space 1}   41.11{col 53}{space 3}0.000{col 61}{space 4} .4705264{col 74}{space 3} .5177131
{txt}{space 10}Hispanic  {c |}{col 21}{res}{space 2}  .484682{col 33}{space 2} .0117253{col 44}{space 1}   41.34{col 53}{space 3}0.000{col 61}{space 4} .4616653{col 74}{space 3} .5076987
{txt}{space 3}Black and White  {c |}{col 21}{res}{space 2}  .522739{col 33}{space 2}   .01167{col 44}{space 1}   44.79{col 53}{space 3}0.000{col 61}{space 4} .4998308{col 74}{space 3} .5456471
{txt}{space 3}Black and Asian  {c |}{col 21}{res}{space 2}  .516962{col 33}{space 2} .0120001{col 44}{space 1}   43.08{col 53}{space 3}0.000{col 61}{space 4} .4934059{col 74}{space 3} .5405182
{txt}Black and Hispanic  {c |}{col 21}{res}{space 2} .5161903{col 33}{space 2} .0121123{col 44}{space 1}   42.62{col 53}{space 3}0.000{col 61}{space 4} .4924141{col 74}{space 3} .5399666
{txt}Asian and Hispanic  {c |}{col 21}{res}{space 2} .5127753{col 33}{space 2} .0123267{col 44}{space 1}   41.60{col 53}{space 3}0.000{col 61}{space 4} .4885781{col 74}{space 3} .5369725
{txt}{space 3}Asian and White  {c |}{col 21}{res}{space 2} .4991867{col 33}{space 2} .0120298{col 44}{space 1}   41.50{col 53}{space 3}0.000{col 61}{space 4} .4755723{col 74}{space 3} .5228011
{txt}Hispanic and White  {c |}{col 21}{res}{space 2} .5153938{col 33}{space 2} .0124115{col 44}{space 1}   41.53{col 53}{space 3}0.000{col 61}{space 4} .4910301{col 74}{space 3} .5397574
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto figure2margins

. marginsplot 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: race{p_end}
{res}
{com}. 
. 
. *esttab figure2margins using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 2") append

. 
. 
. ***Figure 3

. *Marginal means for candidate race by race of respondent

. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party if white==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     3,800
                                                {txt}F(18, 189)        =  {res}    11.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0629
                                                {txt}Root MSE          =    {res} .48523

{txt}{ralign 96:(Std. Err. adjusted for {res:190} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0500356{col 44}{space 2} .0180641{col 55}{space 1}    2.77{col 64}{space 3}0.006{col 72}{space 4} .0144024{col 85}{space 3} .0856688
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}-.0698211{col 44}{space 2}  .034293{col 55}{space 1}   -2.04{col 64}{space 3}0.043{col 72}{space 4}-.1374673{col 85}{space 3}-.0021748
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2}-.1024239{col 44}{space 2} .0353792{col 55}{space 1}   -2.90{col 64}{space 3}0.004{col 72}{space 4}-.1722128{col 85}{space 3}-.0326351
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2}-.1072468{col 44}{space 2} .0368743{col 55}{space 1}   -2.91{col 64}{space 3}0.004{col 72}{space 4}-.1799849{col 85}{space 3}-.0345087
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2}-.0311372{col 44}{space 2} .0382937{col 55}{space 1}   -0.81{col 64}{space 3}0.417{col 72}{space 4}-.1066751{col 85}{space 3} .0444008
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} -.051162{col 44}{space 2} .0368576{col 55}{space 1}   -1.39{col 64}{space 3}0.167{col 72}{space 4}-.1238671{col 85}{space 3} .0215431
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} -.105114{col 44}{space 2} .0380057{col 55}{space 1}   -2.77{col 64}{space 3}0.006{col 72}{space 4} -.180084{col 85}{space 3}-.0301441
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}-.1058471{col 44}{space 2} .0412881{col 55}{space 1}   -2.56{col 64}{space 3}0.011{col 72}{space 4}-.1872918{col 85}{space 3}-.0244023
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2}-.0666274{col 44}{space 2} .0361655{col 55}{space 1}   -1.84{col 64}{space 3}0.067{col 72}{space 4}-.1379674{col 85}{space 3} .0047126
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.0475506{col 44}{space 2} .0374208{col 55}{space 1}   -1.27{col 64}{space 3}0.205{col 72}{space 4}-.1213667{col 85}{space 3} .0262655
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1619787{col 44}{space 2} .0198039{col 55}{space 1}   -8.18{col 64}{space 3}0.000{col 72}{space 4}-.2010438{col 85}{space 3}-.1229136
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0335177{col 44}{space 2}   .02418{col 55}{space 1}   -1.39{col 64}{space 3}0.167{col 72}{space 4}-.0812151{col 85}{space 3} .0141797
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0499596{col 44}{space 2} .0219026{col 55}{space 1}    2.28{col 64}{space 3}0.024{col 72}{space 4} .0067547{col 85}{space 3} .0931645
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0089117{col 44}{space 2} .0228517{col 55}{space 1}    0.39{col 64}{space 3}0.697{col 72}{space 4}-.0361655{col 85}{space 3}  .053989
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0492515{col 44}{space 2} .0272497{col 55}{space 1}   -1.81{col 64}{space 3}0.072{col 72}{space 4}-.1030041{col 85}{space 3} .0045012
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0637681{col 44}{space 2} .0211051{col 55}{space 1}   -3.02{col 64}{space 3}0.003{col 72}{space 4}   -.1054{col 85}{space 3}-.0221363
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0023372{col 44}{space 2} .0202399{col 55}{space 1}   -0.12{col 64}{space 3}0.908{col 72}{space 4}-.0422623{col 85}{space 3} .0375879
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1490858{col 44}{space 2} .0207228{col 55}{space 1}    7.19{col 64}{space 3}0.000{col 72}{space 4} .1082082{col 85}{space 3} .1899634
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}  .603861{col 44}{space 2} .0388501{col 55}{space 1}   15.54{col 64}{space 3}0.000{col 72}{space 4} .5272255{col 85}{space 3} .6804965
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. margins i.race
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     3,800
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}race {c |}
{space 13}White  {c |}{col 21}{res}{space 2} .5684826{col 33}{space 2} .0256447{col 44}{space 1}   22.17{col 53}{space 3}0.000{col 61}{space 4}  .517896{col 74}{space 3} .6190692
{txt}{space 13}Black  {c |}{col 21}{res}{space 2} .4986615{col 33}{space 2}  .021542{col 44}{space 1}   23.15{col 53}{space 3}0.000{col 61}{space 4} .4561679{col 74}{space 3} .5411551
{txt}{space 13}Asian  {c |}{col 21}{res}{space 2} .4660586{col 33}{space 2} .0223088{col 44}{space 1}   20.89{col 53}{space 3}0.000{col 61}{space 4} .4220524{col 74}{space 3} .5100649
{txt}{space 10}Hispanic  {c |}{col 21}{res}{space 2} .4612358{col 33}{space 2} .0242026{col 44}{space 1}   19.06{col 53}{space 3}0.000{col 61}{space 4} .4134938{col 74}{space 3} .5089778
{txt}{space 3}Black and White  {c |}{col 21}{res}{space 2} .5373454{col 33}{space 2} .0249243{col 44}{space 1}   21.56{col 53}{space 3}0.000{col 61}{space 4} .4881799{col 74}{space 3}  .586511
{txt}{space 3}Black and Asian  {c |}{col 21}{res}{space 2} .5173206{col 33}{space 2} .0241238{col 44}{space 1}   21.44{col 53}{space 3}0.000{col 61}{space 4} .4697342{col 74}{space 3}  .564907
{txt}Black and Hispanic  {c |}{col 21}{res}{space 2} .4633685{col 33}{space 2} .0249347{col 44}{space 1}   18.58{col 53}{space 3}0.000{col 61}{space 4} .4141825{col 74}{space 3} .5125546
{txt}Asian and Hispanic  {c |}{col 21}{res}{space 2} .4626355{col 33}{space 2} .0244503{col 44}{space 1}   18.92{col 53}{space 3}0.000{col 61}{space 4}  .414405{col 74}{space 3}  .510866
{txt}{space 3}Asian and White  {c |}{col 21}{res}{space 2} .5018552{col 33}{space 2} .0264902{col 44}{space 1}   18.94{col 53}{space 3}0.000{col 61}{space 4} .4496008{col 74}{space 3} .5541096
{txt}Hispanic and White  {c |}{col 21}{res}{space 2}  .520932{col 33}{space 2} .0250363{col 44}{space 1}   20.81{col 53}{space 3}0.000{col 61}{space 4} .4715455{col 74}{space 3} .5703184
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto marginswhite

. marginsplot 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: race{p_end}
{res}
{com}. 
. *esttab figure2margins using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 2") append

. 
. 
. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party if black==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     4,060
                                                {txt}F(18, 202)        =  {res}    24.54
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0931
                                                {txt}Root MSE          =    {res} .47727

{txt}{ralign 96:(Std. Err. adjusted for {res:203} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0159213{col 44}{space 2}  .015786{col 55}{space 1}    1.01{col 64}{space 3}0.314{col 72}{space 4}-.0152052{col 85}{space 3} .0470479
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2} .2280767{col 44}{space 2} .0350588{col 55}{space 1}    6.51{col 64}{space 3}0.000{col 72}{space 4} .1589485{col 85}{space 3} .2972048
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .0821334{col 44}{space 2} .0331889{col 55}{space 1}    2.47{col 64}{space 3}0.014{col 72}{space 4} .0166923{col 85}{space 3} .1475745
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .1086978{col 44}{space 2}  .032399{col 55}{space 1}    3.35{col 64}{space 3}0.001{col 72}{space 4} .0448141{col 85}{space 3} .1725815
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .1935955{col 44}{space 2} .0317604{col 55}{space 1}    6.10{col 64}{space 3}0.000{col 72}{space 4} .1309711{col 85}{space 3} .2562199
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .2009525{col 44}{space 2}  .035508{col 55}{space 1}    5.66{col 64}{space 3}0.000{col 72}{space 4} .1309386{col 85}{space 3} .2709664
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .2195238{col 44}{space 2}  .036033{col 55}{space 1}    6.09{col 64}{space 3}0.000{col 72}{space 4} .1484748{col 85}{space 3} .2905728
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}  .108646{col 44}{space 2} .0347029{col 55}{space 1}    3.13{col 64}{space 3}0.002{col 72}{space 4} .0402197{col 85}{space 3} .1770723
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0537749{col 44}{space 2} .0337857{col 55}{space 1}    1.59{col 64}{space 3}0.113{col 72}{space 4}-.0128429{col 85}{space 3} .1203927
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .1287534{col 44}{space 2} .0334323{col 55}{space 1}    3.85{col 64}{space 3}0.000{col 72}{space 4} .0628323{col 85}{space 3} .1946746
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1131755{col 44}{space 2} .0174359{col 55}{space 1}   -6.49{col 64}{space 3}0.000{col 72}{space 4}-.1475552{col 85}{space 3}-.0787957
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.1593091{col 44}{space 2} .0291298{col 55}{space 1}   -5.47{col 64}{space 3}0.000{col 72}{space 4}-.2167466{col 85}{space 3}-.1018716
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0046482{col 44}{space 2} .0232443{col 55}{space 1}    0.20{col 64}{space 3}0.842{col 72}{space 4}-.0411845{col 85}{space 3} .0504808
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0049482{col 44}{space 2} .0201623{col 55}{space 1}   -0.25{col 64}{space 3}0.806{col 72}{space 4}-.0447037{col 85}{space 3} .0348074
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.1041839{col 44}{space 2} .0228066{col 55}{space 1}   -4.57{col 64}{space 3}0.000{col 72}{space 4}-.1491535{col 85}{space 3}-.0592143
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0537444{col 44}{space 2} .0203469{col 55}{space 1}   -2.64{col 64}{space 3}0.009{col 72}{space 4} -.093864{col 85}{space 3}-.0136248
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0409924{col 44}{space 2} .0174007{col 55}{space 1}   -2.36{col 64}{space 3}0.019{col 72}{space 4}-.0753027{col 85}{space 3}-.0066821
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1198483{col 44}{space 2} .0240636{col 55}{space 1}    4.98{col 64}{space 3}0.000{col 72}{space 4} .0724003{col 85}{space 3} .1672963
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .4960126{col 44}{space 2}  .035589{col 55}{space 1}   13.94{col 64}{space 3}0.000{col 72}{space 4}  .425839{col 85}{space 3} .5661863
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. margins i.race
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     4,060
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}race {c |}
{space 13}White  {c |}{col 21}{res}{space 2} .3667595{col 33}{space 2} .0227647{col 44}{space 1}   16.11{col 53}{space 3}0.000{col 61}{space 4} .3218726{col 74}{space 3} .4116464
{txt}{space 13}Black  {c |}{col 21}{res}{space 2} .5948362{col 33}{space 2} .0220468{col 44}{space 1}   26.98{col 53}{space 3}0.000{col 61}{space 4} .5513649{col 74}{space 3} .6383075
{txt}{space 13}Asian  {c |}{col 21}{res}{space 2} .4488929{col 33}{space 2} .0224818{col 44}{space 1}   19.97{col 53}{space 3}0.000{col 61}{space 4} .4045639{col 74}{space 3}  .493222
{txt}{space 10}Hispanic  {c |}{col 21}{res}{space 2} .4754573{col 33}{space 2} .0230144{col 44}{space 1}   20.66{col 53}{space 3}0.000{col 61}{space 4} .4300781{col 74}{space 3} .5208365
{txt}{space 3}Black and White  {c |}{col 21}{res}{space 2}  .560355{col 33}{space 2} .0201657{col 44}{space 1}   27.79{col 53}{space 3}0.000{col 61}{space 4} .5205928{col 74}{space 3} .6001173
{txt}{space 3}Black and Asian  {c |}{col 21}{res}{space 2}  .567712{col 33}{space 2} .0249264{col 44}{space 1}   22.78{col 53}{space 3}0.000{col 61}{space 4} .5185627{col 74}{space 3} .6168613
{txt}Black and Hispanic  {c |}{col 21}{res}{space 2} .5862833{col 33}{space 2} .0250093{col 44}{space 1}   23.44{col 53}{space 3}0.000{col 61}{space 4} .5369706{col 74}{space 3}  .635596
{txt}Asian and Hispanic  {c |}{col 21}{res}{space 2} .4754055{col 33}{space 2} .0237195{col 44}{space 1}   20.04{col 53}{space 3}0.000{col 61}{space 4} .4286359{col 74}{space 3} .5221751
{txt}{space 3}Asian and White  {c |}{col 21}{res}{space 2} .4205344{col 33}{space 2} .0222866{col 44}{space 1}   18.87{col 53}{space 3}0.000{col 61}{space 4} .3765901{col 74}{space 3} .4644787
{txt}Hispanic and White  {c |}{col 21}{res}{space 2}  .495513{col 33}{space 2} .0228244{col 44}{space 1}   21.71{col 53}{space 3}0.000{col 61}{space 4} .4505083{col 74}{space 3} .5405177
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto marginsblack

. marginsplot 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: race{p_end}
{res}
{com}. 
. *esttab figure2margins using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 2") append

. 
. 
. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party if asian==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     4,140
                                                {txt}F(18, 206)        =  {res}    15.01
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0634
                                                {txt}Root MSE          =    {res} .48501

{txt}{ralign 96:(Std. Err. adjusted for {res:207} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2}-.0005297{col 44}{space 2} .0167805{col 55}{space 1}   -0.03{col 64}{space 3}0.975{col 72}{space 4}-.0336133{col 85}{space 3} .0325539
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}-.0507912{col 44}{space 2} .0366559{col 55}{space 1}   -1.39{col 64}{space 3}0.167{col 72}{space 4}  -.12306{col 85}{space 3} .0214777
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .1233324{col 44}{space 2} .0372457{col 55}{space 1}    3.31{col 64}{space 3}0.001{col 72}{space 4} .0499008{col 85}{space 3} .1967639
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2}-.0567161{col 44}{space 2} .0325193{col 55}{space 1}   -1.74{col 64}{space 3}0.083{col 72}{space 4}-.1208295{col 85}{space 3} .0073973
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0159087{col 44}{space 2} .0333395{col 55}{space 1}    0.48{col 64}{space 3}0.634{col 72}{space 4}-.0498218{col 85}{space 3} .0816391
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0564684{col 44}{space 2} .0362123{col 55}{space 1}    1.56{col 64}{space 3}0.120{col 72}{space 4}-.0149257{col 85}{space 3} .1278626
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2}-.0132642{col 44}{space 2} .0338668{col 55}{space 1}   -0.39{col 64}{space 3}0.696{col 72}{space 4}-.0800343{col 85}{space 3} .0535058
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .1040462{col 44}{space 2} .0350561{col 55}{space 1}    2.97{col 64}{space 3}0.003{col 72}{space 4} .0349314{col 85}{space 3}  .173161
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .1082455{col 44}{space 2} .0348002{col 55}{space 1}    3.11{col 64}{space 3}0.002{col 72}{space 4} .0396352{col 85}{space 3} .1768558
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.0048524{col 44}{space 2} .0375504{col 55}{space 1}   -0.13{col 64}{space 3}0.897{col 72}{space 4}-.0788848{col 85}{space 3} .0691801
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.0864054{col 44}{space 2} .0177064{col 55}{space 1}   -4.88{col 64}{space 3}0.000{col 72}{space 4}-.1213144{col 85}{space 3}-.0514964
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0515548{col 44}{space 2}  .024055{col 55}{space 1}   -2.14{col 64}{space 3}0.033{col 72}{space 4}-.0989803{col 85}{space 3}-.0041293
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2}  .017968{col 44}{space 2} .0221902{col 55}{space 1}    0.81{col 64}{space 3}0.419{col 72}{space 4} -.025781{col 85}{space 3} .0617169
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0307373{col 44}{space 2} .0229065{col 55}{space 1}    1.34{col 64}{space 3}0.181{col 72}{space 4}-.0144239{col 85}{space 3} .0758984
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0825751{col 44}{space 2} .0282584{col 55}{space 1}   -2.92{col 64}{space 3}0.004{col 72}{space 4}-.1382879{col 85}{space 3}-.0268623
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0892816{col 44}{space 2} .0215373{col 55}{space 1}   -4.15{col 64}{space 3}0.000{col 72}{space 4}-.1317433{col 85}{space 3}-.0468198
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0276158{col 44}{space 2} .0199157{col 55}{space 1}   -1.39{col 64}{space 3}0.167{col 72}{space 4}-.0668805{col 85}{space 3} .0116488
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1547486{col 44}{space 2} .0190592{col 55}{space 1}    8.12{col 64}{space 3}0.000{col 72}{space 4} .1171724{col 85}{space 3} .1923248
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5381027{col 44}{space 2} .0408316{col 55}{space 1}   13.18{col 64}{space 3}0.000{col 72}{space 4} .4576012{col 85}{space 3} .6186041
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. margins i.race
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     4,140
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}race {c |}
{space 13}White  {c |}{col 21}{res}{space 2} .4727707{col 33}{space 2} .0237676{col 44}{space 1}   19.89{col 53}{space 3}0.000{col 61}{space 4} .4259118{col 74}{space 3} .5196297
{txt}{space 13}Black  {c |}{col 21}{res}{space 2} .4219796{col 33}{space 2} .0232186{col 44}{space 1}   18.17{col 53}{space 3}0.000{col 61}{space 4}  .376203{col 74}{space 3} .4677562
{txt}{space 13}Asian  {c |}{col 21}{res}{space 2} .5961031{col 33}{space 2} .0263677{col 44}{space 1}   22.61{col 53}{space 3}0.000{col 61}{space 4}  .544118{col 74}{space 3} .6480882
{txt}{space 10}Hispanic  {c |}{col 21}{res}{space 2} .4160546{col 33}{space 2}  .019578{col 44}{space 1}   21.25{col 53}{space 3}0.000{col 61}{space 4} .3774557{col 74}{space 3} .4546536
{txt}{space 3}Black and White  {c |}{col 21}{res}{space 2} .4886794{col 33}{space 2} .0222494{col 44}{space 1}   21.96{col 53}{space 3}0.000{col 61}{space 4} .4448136{col 74}{space 3} .5325453
{txt}{space 3}Black and Asian  {c |}{col 21}{res}{space 2} .5292392{col 33}{space 2} .0227845{col 44}{space 1}   23.23{col 53}{space 3}0.000{col 61}{space 4} .4843185{col 74}{space 3} .5741598
{txt}Black and Hispanic  {c |}{col 21}{res}{space 2} .4595065{col 33}{space 2} .0228332{col 44}{space 1}   20.12{col 53}{space 3}0.000{col 61}{space 4} .4144897{col 74}{space 3} .5045233
{txt}Asian and Hispanic  {c |}{col 21}{res}{space 2} .5768169{col 33}{space 2} .0251214{col 44}{space 1}   22.96{col 53}{space 3}0.000{col 61}{space 4} .5272889{col 74}{space 3}  .626345
{txt}{space 3}Asian and White  {c |}{col 21}{res}{space 2} .5810163{col 33}{space 2} .0225591{col 44}{space 1}   25.76{col 53}{space 3}0.000{col 61}{space 4} .5365399{col 74}{space 3} .6254927
{txt}Hispanic and White  {c |}{col 21}{res}{space 2} .4679184{col 33}{space 2} .0260687{col 44}{space 1}   17.95{col 53}{space 3}0.000{col 61}{space 4} .4165227{col 74}{space 3}  .519314
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto marginsasian

. marginsplot 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: race{p_end}
{res}
{com}. 
. *esttab figure2margins using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 2") append

. 
. 
. 
. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party if hispanic==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     3,708
                                                {txt}F(18, 185)        =  {res}    12.75
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0645
                                                {txt}Root MSE          =    {res} .48486

{txt}{ralign 96:(Std. Err. adjusted for {res:186} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0273838{col 44}{space 2} .0164947{col 55}{space 1}    1.66{col 64}{space 3}0.099{col 72}{space 4} -.005158{col 85}{space 3} .0599257
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}-.0226125{col 44}{space 2} .0378784{col 55}{space 1}   -0.60{col 64}{space 3}0.551{col 72}{space 4}-.0973417{col 85}{space 3} .0521167
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .0423213{col 44}{space 2} .0369605{col 55}{space 1}    1.15{col 64}{space 3}0.254{col 72}{space 4} -.030597{col 85}{space 3} .1152396
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .1814878{col 44}{space 2}  .034918{col 55}{space 1}    5.20{col 64}{space 3}0.000{col 72}{space 4} .1125991{col 85}{space 3} .2503765
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0732851{col 44}{space 2} .0395921{col 55}{space 1}    1.85{col 64}{space 3}0.066{col 72}{space 4}-.0048249{col 85}{space 3} .1513952
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0308276{col 44}{space 2} .0352685{col 55}{space 1}    0.87{col 64}{space 3}0.383{col 72}{space 4}-.0387526{col 85}{space 3} .1004078
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .1319984{col 44}{space 2} .0380501{col 55}{space 1}    3.47{col 64}{space 3}0.001{col 72}{space 4} .0569306{col 85}{space 3} .2070662
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .1079402{col 44}{space 2} .0379443{col 55}{space 1}    2.84{col 64}{space 3}0.005{col 72}{space 4}  .033081{col 85}{space 3} .1827994
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0744085{col 44}{space 2} .0358722{col 55}{space 1}    2.07{col 64}{space 3}0.039{col 72}{space 4} .0036372{col 85}{space 3} .1451798
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .1469259{col 44}{space 2} .0387747{col 55}{space 1}    3.79{col 64}{space 3}0.000{col 72}{space 4} .0704284{col 85}{space 3} .2234234
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2} -.126204{col 44}{space 2} .0213002{col 55}{space 1}   -5.93{col 64}{space 3}0.000{col 72}{space 4}-.1682265{col 85}{space 3}-.0841816
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2} -.078483{col 44}{space 2} .0258471{col 55}{space 1}   -3.04{col 64}{space 3}0.003{col 72}{space 4}-.1294759{col 85}{space 3}-.0274901
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0537512{col 44}{space 2} .0242978{col 55}{space 1}    2.21{col 64}{space 3}0.028{col 72}{space 4} .0058148{col 85}{space 3} .1016876
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0172126{col 44}{space 2} .0221366{col 55}{space 1}   -0.78{col 64}{space 3}0.438{col 72}{space 4}-.0608852{col 85}{space 3} .0264601
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0720072{col 44}{space 2} .0247104{col 55}{space 1}   -2.91{col 64}{space 3}0.004{col 72}{space 4}-.1207576{col 85}{space 3}-.0232567
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0753079{col 44}{space 2}   .02093{col 55}{space 1}   -3.60{col 64}{space 3}0.000{col 72}{space 4}-.1166001{col 85}{space 3}-.0340156
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0146629{col 44}{space 2} .0195038{col 55}{space 1}   -0.75{col 64}{space 3}0.453{col 72}{space 4}-.0531414{col 85}{space 3} .0238156
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2}  .108598{col 44}{space 2} .0217332{col 55}{space 1}    5.00{col 64}{space 3}0.000{col 72}{space 4} .0657212{col 85}{space 3} .1514748
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5121695{col 44}{space 2} .0423542{col 55}{space 1}   12.09{col 64}{space 3}0.000{col 72}{space 4} .4286103{col 85}{space 3} .5957288
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. margins i.race
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     3,708
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}race {c |}
{space 13}White  {c |}{col 21}{res}{space 2} .4238185{col 33}{space 2} .0259053{col 44}{space 1}   16.36{col 53}{space 3}0.000{col 61}{space 4} .3727107{col 74}{space 3} .4749263
{txt}{space 13}Black  {c |}{col 21}{res}{space 2}  .401206{col 33}{space 2} .0232563{col 44}{space 1}   17.25{col 53}{space 3}0.000{col 61}{space 4} .3553244{col 74}{space 3} .4470876
{txt}{space 13}Asian  {c |}{col 21}{res}{space 2} .4661398{col 33}{space 2} .0228121{col 44}{space 1}   20.43{col 53}{space 3}0.000{col 61}{space 4} .4211346{col 74}{space 3}  .511145
{txt}{space 10}Hispanic  {c |}{col 21}{res}{space 2} .6053063{col 33}{space 2} .0251504{col 44}{space 1}   24.07{col 53}{space 3}0.000{col 61}{space 4} .5556877{col 74}{space 3} .6549248
{txt}{space 3}Black and White  {c |}{col 21}{res}{space 2} .4971036{col 33}{space 2} .0267751{col 44}{space 1}   18.57{col 53}{space 3}0.000{col 61}{space 4} .4442798{col 74}{space 3} .5499273
{txt}{space 3}Black and Asian  {c |}{col 21}{res}{space 2} .4546461{col 33}{space 2} .0233465{col 44}{space 1}   19.47{col 53}{space 3}0.000{col 61}{space 4} .4085864{col 74}{space 3} .5007057
{txt}Black and Hispanic  {c |}{col 21}{res}{space 2} .5558169{col 33}{space 2} .0228134{col 44}{space 1}   24.36{col 53}{space 3}0.000{col 61}{space 4} .5108089{col 74}{space 3} .6008248
{txt}Asian and Hispanic  {c |}{col 21}{res}{space 2} .5317587{col 33}{space 2}  .023721{col 44}{space 1}   22.42{col 53}{space 3}0.000{col 61}{space 4} .4849602{col 74}{space 3} .5785572
{txt}{space 3}Asian and White  {c |}{col 21}{res}{space 2}  .498227{col 33}{space 2} .0237515{col 44}{space 1}   20.98{col 53}{space 3}0.000{col 61}{space 4} .4513683{col 74}{space 3} .5450857
{txt}Hispanic and White  {c |}{col 21}{res}{space 2} .5707444{col 33}{space 2} .0240484{col 44}{space 1}   23.73{col 53}{space 3}0.000{col 61}{space 4} .5233001{col 74}{space 3} .6181888
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto marginshispanic

. marginsplot 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: race{p_end}
{res}
{com}. 
. *esttab marginswhite marginsblack marginsasian marginshispanic using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 3") mtitle("White Rs" "Black Rs" "Asian Rs" "Hispanic Rs") append

. 
. 
. *graph combine mm1_white.gph mm1_black.gph mm1_asian.gph mm1_hispanic.gph, col(2)

. 
. 
. 
. *Testing for sub-group differences in preferences using nested model comparison

. *Generating variables to compare subgroups

. gen white_blackcompare=.
{txt}(15,720 missing values generated)

{com}. replace white_blackcompare=0 if white==1 
{txt}(3,800 real changes made)

{com}. replace white_blackcompare=1 if black==1
{txt}(4,060 real changes made)

{com}. 
. gen white_asiancompare=.
{txt}(15,720 missing values generated)

{com}. replace white_asiancompare=0 if white==1 
{txt}(3,800 real changes made)

{com}. replace white_asiancompare=1 if asian==1
{txt}(4,140 real changes made)

{com}. 
. gen white_hispcompare=.
{txt}(15,720 missing values generated)

{com}. replace white_hispcompare=0 if white==1 
{txt}(3,800 real changes made)

{com}. replace white_hispcompare=1 if hispanic==1
{txt}(3,720 real changes made)

{com}. 
. gen black_asiancompare=.
{txt}(15,720 missing values generated)

{com}. replace black_asiancompare=0 if black==1 
{txt}(4,060 real changes made)

{com}. replace black_asiancompare=1 if asian==1
{txt}(4,140 real changes made)

{com}. 
. gen black_hispcompare=.
{txt}(15,720 missing values generated)

{com}. replace black_hispcompare=0 if black==1 
{txt}(4,060 real changes made)

{com}. replace black_hispcompare=1 if hispanic==1
{txt}(3,720 real changes made)

{com}. 
. gen asian_hispcompare=.
{txt}(15,720 missing values generated)

{com}. replace asian_hispcompare=0 if asian==1 
{txt}(4,140 real changes made)

{com}. replace asian_hispcompare=1 if hispanic==1
{txt}(3,720 real changes made)

{com}. 
. reg selected i.gender i.race##i.white_blackcompare i.nativity i.party i.ideology i.experience i.same_party, allbaselevels  

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,860
{txt}{hline 13}{c +}{hline 34}   F(28, 7831)     = {res}    22.51
{txt}       Model {c |} {res} 146.359823        28  5.22713653   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1818.64018     7,831  .232236008   {txt}R-squared       ={res}    0.0745
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0712
{txt}       Total {c |} {res}       1965     7,859  .250031811   {txt}Root MSE        =   {res} .48191

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0323775{col 44}{space 2} .0108838{col 55}{space 1}    2.97{col 64}{space 3}0.003{col 72}{space 4} .0110424{col 85}{space 3} .0537126
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}-.0725767{col 44}{space 2} .0343662{col 55}{space 1}   -2.11{col 64}{space 3}0.035{col 72}{space 4}-.1399435{col 85}{space 3}-.0052098
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2}-.1023508{col 44}{space 2} .0347216{col 55}{space 1}   -2.95{col 64}{space 3}0.003{col 72}{space 4}-.1704144{col 85}{space 3}-.0342871
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2}-.1075807{col 44}{space 2} .0352011{col 55}{space 1}   -3.06{col 64}{space 3}0.002{col 72}{space 4}-.1765843{col 85}{space 3}-.0385771
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} -.030523{col 44}{space 2} .0349417{col 55}{space 1}   -0.87{col 64}{space 3}0.382{col 72}{space 4}-.0990181{col 85}{space 3}  .037972
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2}-.0508494{col 44}{space 2} .0343763{col 55}{space 1}   -1.48{col 64}{space 3}0.139{col 72}{space 4}-.1182362{col 85}{space 3} .0165374
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} -.104728{col 44}{space 2} .0350658{col 55}{space 1}   -2.99{col 64}{space 3}0.003{col 72}{space 4}-.1734663{col 85}{space 3}-.0359897
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}-.1060191{col 44}{space 2} .0347248{col 55}{space 1}   -3.05{col 64}{space 3}0.002{col 72}{space 4}-.1740889{col 85}{space 3}-.0379493
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2}-.0697278{col 44}{space 2}  .035376{col 55}{space 1}   -1.97{col 64}{space 3}0.049{col 72}{space 4}-.1390742{col 85}{space 3}-.0003814
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.0462129{col 44}{space 2} .0351238{col 55}{space 1}   -1.32{col 64}{space 3}0.188{col 72}{space 4}-.1150649{col 85}{space 3} .0226391
{txt}{space 30} {c |}
{space 12}white_blackcompare {c |}
{space 28}0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 28}1  {c |}{col 32}{res}{space 2}-.1989407{col 44}{space 2} .0343751{col 55}{space 1}   -5.79{col 64}{space 3}0.000{col 72}{space 4}-.2663251{col 85}{space 3}-.1315562
{txt}{space 30} {c |}
{space 7}race#white_blackcompare {c |}
{space 22}White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}White#1  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#1  {c |}{col 32}{res}{space 2} .2998548{col 44}{space 2} .0479709{col 55}{space 1}    6.25{col 64}{space 3}0.000{col 72}{space 4}  .205819{col 85}{space 3} .3938906
{txt}{space 22}Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Asian#1  {c |}{col 32}{res}{space 2} .1825868{col 44}{space 2} .0486666{col 55}{space 1}    3.75{col 64}{space 3}0.000{col 72}{space 4} .0871873{col 85}{space 3} .2779864
{txt}{space 19}Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Hispanic#1  {c |}{col 32}{res}{space 2} .2140348{col 44}{space 2} .0483842{col 55}{space 1}    4.42{col 64}{space 3}0.000{col 72}{space 4}  .119189{col 85}{space 3} .3088807
{txt}{space 12}Black and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and White#1  {c |}{col 32}{res}{space 2} .2227651{col 44}{space 2} .0480834{col 55}{space 1}    4.63{col 64}{space 3}0.000{col 72}{space 4} .1285088{col 85}{space 3} .3170213
{txt}{space 12}Black and Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and Asian#1  {c |}{col 32}{res}{space 2}  .247964{col 44}{space 2} .0486291{col 55}{space 1}    5.10{col 64}{space 3}0.000{col 72}{space 4} .1526379{col 85}{space 3}   .34329
{txt}{space 9}Black and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Black and Hispanic#1  {c |}{col 32}{res}{space 2}  .324146{col 44}{space 2} .0489424{col 55}{space 1}    6.62{col 64}{space 3}0.000{col 72}{space 4} .2282059{col 85}{space 3} .4200861
{txt}{space 9}Asian and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Asian and Hispanic#1  {c |}{col 32}{res}{space 2} .2113504{col 44}{space 2} .0491384{col 55}{space 1}    4.30{col 64}{space 3}0.000{col 72}{space 4}  .115026{col 85}{space 3} .3076749
{txt}{space 12}Asian and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Asian and White#1  {c |}{col 32}{res}{space 2} .1222357{col 44}{space 2} .0489199{col 55}{space 1}    2.50{col 64}{space 3}0.012{col 72}{space 4} .0263396{col 85}{space 3} .2181319
{txt}{space 9}Hispanic and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Hispanic and White#1  {c |}{col 32}{res}{space 2} .1754633{col 44}{space 2} .0493277{col 55}{space 1}    3.56{col 64}{space 3}0.000{col 72}{space 4} .0787678{col 85}{space 3} .2721588
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1354082{col 44}{space 2} .0108984{col 55}{space 1}  -12.42{col 64}{space 3}0.000{col 72}{space 4}-.1567719{col 85}{space 3}-.1140445
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0877888{col 44}{space 2} .0144078{col 55}{space 1}   -6.09{col 64}{space 3}0.000{col 72}{space 4} -.116032{col 85}{space 3}-.0595457
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0373169{col 44}{space 2}  .014244{col 55}{space 1}    2.62{col 64}{space 3}0.009{col 72}{space 4} .0093948{col 85}{space 3}  .065239
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}  .000571{col 44}{space 2} .0133266{col 55}{space 1}    0.04{col 64}{space 3}0.966{col 72}{space 4}-.0255526{col 85}{space 3} .0266946
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0785055{col 44}{space 2} .0133488{col 55}{space 1}   -5.88{col 64}{space 3}0.000{col 72}{space 4}-.1046728{col 85}{space 3}-.0523383
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2} -.057984{col 44}{space 2} .0134159{col 55}{space 1}   -4.32{col 64}{space 3}0.000{col 72}{space 4}-.0842826{col 85}{space 3}-.0316853
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0219956{col 44}{space 2} .0132628{col 55}{space 1}   -1.66{col 64}{space 3}0.097{col 72}{space 4}-.0479943{col 85}{space 3} .0040031
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1520411{col 44}{space 2} .0128979{col 55}{space 1}   11.79{col 64}{space 3}0.000{col 72}{space 4} .1267579{col 85}{space 3} .1773244
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}  .638959{col 44}{space 2} .0297452{col 55}{space 1}   21.48{col 64}{space 3}0.000{col 72}{space 4} .5806506{col 85}{space 3} .6972675
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto A

. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party if white==1 | black==1, allbaselevels 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,860
{txt}{hline 13}{c +}{hline 34}   F(18, 7841)     = {res}    31.25
{txt}       Model {c |} {res} 131.523382        18  7.30685455   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1833.47662     7,841  .233831988   {txt}R-squared       ={res}    0.0669
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0648
{txt}       Total {c |} {res}       1965     7,859  .250031811   {txt}Root MSE        =   {res} .48356

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0333025{col 44}{space 2} .0109169{col 55}{space 1}    3.05{col 64}{space 3}0.002{col 72}{space 4} .0119026{col 85}{space 3} .0547025
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2} .0809891{col 44}{space 2} .0240716{col 55}{space 1}    3.36{col 64}{space 3}0.001{col 72}{space 4} .0338024{col 85}{space 3} .1281758
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2}-.0092828{col 44}{space 2} .0244168{col 55}{space 1}   -0.38{col 64}{space 3}0.704{col 72}{space 4}-.0571464{col 85}{space 3} .0385807
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .0022016{col 44}{space 2} .0242422{col 55}{space 1}    0.09{col 64}{space 3}0.928{col 72}{space 4}-.0453196{col 85}{space 3} .0497229
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0838954{col 44}{space 2} .0240915{col 55}{space 1}    3.48{col 64}{space 3}0.000{col 72}{space 4} .0366696{col 85}{space 3} .1311212
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0745713{col 44}{space 2} .0244124{col 55}{space 1}    3.05{col 64}{space 3}0.002{col 72}{space 4} .0267165{col 85}{space 3} .1224261
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .0614032{col 44}{space 2} .0245518{col 55}{space 1}    2.50{col 64}{space 3}0.012{col 72}{space 4} .0132751{col 85}{space 3} .1095313
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .0014691{col 44}{space 2} .0246737{col 55}{space 1}    0.06{col 64}{space 3}0.953{col 72}{space 4} -.046898{col 85}{space 3} .0498362
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2}-.0094253{col 44}{space 2} .0245131{col 55}{space 1}   -0.38{col 64}{space 3}0.701{col 72}{space 4}-.0574775{col 85}{space 3} .0386268
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .0433471{col 44}{space 2} .0247595{col 55}{space 1}    1.75{col 64}{space 3}0.080{col 72}{space 4}-.0051881{col 85}{space 3} .0918824
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1362159{col 44}{space 2} .0109298{col 55}{space 1}  -12.46{col 64}{space 3}0.000{col 72}{space 4}-.1576413{col 85}{space 3}-.1147904
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0872691{col 44}{space 2} .0144533{col 55}{space 1}   -6.04{col 64}{space 3}0.000{col 72}{space 4}-.1156015{col 85}{space 3}-.0589368
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0372243{col 44}{space 2} .0142901{col 55}{space 1}    2.60{col 64}{space 3}0.009{col 72}{space 4} .0092119{col 85}{space 3} .0652367
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0004001{col 44}{space 2} .0133665{col 55}{space 1}   -0.03{col 64}{space 3}0.976{col 72}{space 4}-.0266021{col 85}{space 3} .0258018
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0784081{col 44}{space 2} .0133866{col 55}{space 1}   -5.86{col 64}{space 3}0.000{col 72}{space 4}-.1046494{col 85}{space 3}-.0521668
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0563133{col 44}{space 2} .0134561{col 55}{space 1}   -4.18{col 64}{space 3}0.000{col 72}{space 4}-.0826909{col 85}{space 3}-.0299357
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0215929{col 44}{space 2} .0133021{col 55}{space 1}   -1.62{col 64}{space 3}0.105{col 72}{space 4}-.0476686{col 85}{space 3} .0044828
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1528646{col 44}{space 2} .0129407{col 55}{space 1}   11.81{col 64}{space 3}0.000{col 72}{space 4} .1274975{col 85}{space 3} .1782317
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}  .536674{col 44}{space 2} .0241215{col 55}{space 1}   22.25{col 64}{space 3}0.000{col 72}{space 4} .4893893{col 85}{space 3} .5839587
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto B

. 
. ftest A B
{txt}Assumption: {res}B{txt} nested in {res}A

{txt}F( 10,    7831) = {res}     6.39
{col 8}{txt}prob > F = {res}   0.0000

{com}. 
. reg selected i.gender i.race##i.white_asiancompare i.nativity i.party i.ideology i.experience i.same_party, allbaselevels 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,940
{txt}{hline 13}{c +}{hline 34}   F(28, 7911)     = {res}    18.10
{txt}       Model {c |} {res} 119.504066        28  4.26800234   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1865.49593     7,911  .235810382   {txt}R-squared       ={res}    0.0602
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0569
{txt}       Total {c |} {res}       1985     7,939   .25003149   {txt}Root MSE        =   {res}  .4856

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0230403{col 44}{space 2} .0109134{col 55}{space 1}    2.11{col 64}{space 3}0.035{col 72}{space 4} .0016471{col 85}{space 3} .0444335
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}-.0736342{col 44}{space 2}  .034628{col 55}{space 1}   -2.13{col 64}{space 3}0.033{col 72}{space 4}-.1415144{col 85}{space 3}-.0057541
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2}-.1013218{col 44}{space 2} .0349875{col 55}{space 1}   -2.90{col 64}{space 3}0.004{col 72}{space 4}-.1699066{col 85}{space 3}-.0327371
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2}-.1091248{col 44}{space 2} .0354704{col 55}{space 1}   -3.08{col 64}{space 3}0.002{col 72}{space 4}-.1786561{col 85}{space 3}-.0395935
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2}-.0322729{col 44}{space 2} .0352095{col 55}{space 1}   -0.92{col 64}{space 3}0.359{col 72}{space 4}-.1012929{col 85}{space 3}  .036747
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2}-.0532494{col 44}{space 2}   .03464{col 55}{space 1}   -1.54{col 64}{space 3}0.124{col 72}{space 4}-.1211529{col 85}{space 3} .0146541
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2}-.1083605{col 44}{space 2} .0353345{col 55}{space 1}   -3.07{col 64}{space 3}0.002{col 72}{space 4}-.1776254{col 85}{space 3}-.0390955
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}-.1093376{col 44}{space 2} .0349906{col 55}{space 1}   -3.12{col 64}{space 3}0.002{col 72}{space 4}-.1779283{col 85}{space 3}-.0407468
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2}-.0691901{col 44}{space 2} .0356469{col 55}{space 1}   -1.94{col 64}{space 3}0.052{col 72}{space 4}-.1390674{col 85}{space 3} .0006873
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.0476014{col 44}{space 2} .0353933{col 55}{space 1}   -1.34{col 64}{space 3}0.179{col 72}{space 4}-.1169815{col 85}{space 3} .0217788
{txt}{space 30} {c |}
{space 12}white_asiancompare {c |}
{space 28}0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 28}1  {c |}{col 32}{res}{space 2}-.0912313{col 44}{space 2} .0342135{col 55}{space 1}   -2.67{col 64}{space 3}0.008{col 72}{space 4}-.1582988{col 85}{space 3}-.0241638
{txt}{space 30} {c |}
{space 7}race#white_asiancompare {c |}
{space 22}White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}White#1  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#1  {c |}{col 32}{res}{space 2}  .024402{col 44}{space 2} .0480853{col 55}{space 1}    0.51{col 64}{space 3}0.612{col 72}{space 4}-.0698579{col 85}{space 3} .1186619
{txt}{space 22}Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Asian#1  {c |}{col 32}{res}{space 2} .2235213{col 44}{space 2}  .048878{col 55}{space 1}    4.57{col 64}{space 3}0.000{col 72}{space 4} .1277076{col 85}{space 3}  .319335
{txt}{space 19}Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Hispanic#1  {c |}{col 32}{res}{space 2} .0521853{col 44}{space 2} .0484527{col 55}{space 1}    1.08{col 64}{space 3}0.281{col 72}{space 4}-.0427948{col 85}{space 3} .1471654
{txt}{space 12}Black and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and White#1  {c |}{col 32}{res}{space 2} .0492413{col 44}{space 2} .0485487{col 55}{space 1}    1.01{col 64}{space 3}0.310{col 72}{space 4} -.045927{col 85}{space 3} .1444097
{txt}{space 12}Black and Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and Asian#1  {c |}{col 32}{res}{space 2} .1075722{col 44}{space 2} .0479603{col 55}{space 1}    2.24{col 64}{space 3}0.025{col 72}{space 4} .0135574{col 85}{space 3}  .201587
{txt}{space 9}Black and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Black and Hispanic#1  {c |}{col 32}{res}{space 2} .0947579{col 44}{space 2} .0487813{col 55}{space 1}    1.94{col 64}{space 3}0.052{col 72}{space 4}-.0008663{col 85}{space 3} .1903821
{txt}{space 9}Asian and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Asian and Hispanic#1  {c |}{col 32}{res}{space 2}  .213553{col 44}{space 2} .0484758{col 55}{space 1}    4.41{col 64}{space 3}0.000{col 72}{space 4} .1185276{col 85}{space 3} .3085785
{txt}{space 12}Asian and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Asian and White#1  {c |}{col 32}{res}{space 2} .1752913{col 44}{space 2} .0490985{col 55}{space 1}    3.57{col 64}{space 3}0.000{col 72}{space 4} .0790453{col 85}{space 3} .2715372
{txt}{space 9}Hispanic and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Hispanic and White#1  {c |}{col 32}{res}{space 2} .0423331{col 44}{space 2} .0495549{col 55}{space 1}    0.85{col 64}{space 3}0.393{col 72}{space 4}-.0548076{col 85}{space 3} .1394739
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2} -.121978{col 44}{space 2} .0109293{col 55}{space 1}  -11.16{col 64}{space 3}0.000{col 72}{space 4}-.1434023{col 85}{space 3}-.1005536
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2} -.044289{col 44}{space 2} .0136151{col 55}{space 1}   -3.25{col 64}{space 3}0.001{col 72}{space 4}-.0709782{col 85}{space 3}-.0175999
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0319543{col 44}{space 2} .0136007{col 55}{space 1}    2.35{col 64}{space 3}0.019{col 72}{space 4} .0052933{col 85}{space 3} .0586153
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0199707{col 44}{space 2} .0134066{col 55}{space 1}    1.49{col 64}{space 3}0.136{col 72}{space 4}-.0063097{col 85}{space 3} .0462511
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0674072{col 44}{space 2} .0133258{col 55}{space 1}   -5.06{col 64}{space 3}0.000{col 72}{space 4}-.0935293{col 85}{space 3}-.0412851
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0779812{col 44}{space 2} .0133578{col 55}{space 1}   -5.84{col 64}{space 3}0.000{col 72}{space 4}-.1041661{col 85}{space 3}-.0517964
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0157301{col 44}{space 2} .0133933{col 55}{space 1}   -1.17{col 64}{space 3}0.240{col 72}{space 4}-.0419846{col 85}{space 3} .0105243
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1528427{col 44}{space 2}  .012081{col 55}{space 1}   12.65{col 64}{space 3}0.000{col 72}{space 4} .1291606{col 85}{space 3} .1765247
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .6201125{col 44}{space 2} .0293212{col 55}{space 1}   21.15{col 64}{space 3}0.000{col 72}{space 4} .5626353{col 85}{space 3} .6775898
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto C

. 
. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party if white==1 | asian==1, allbaselevels 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,940
{txt}{hline 13}{c +}{hline 34}   F(18, 7921)     = {res}    25.33
{txt}       Model {c |} {res} 108.034823        18  6.00193462   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1876.96518     7,921  .236960633   {txt}R-squared       ={res}    0.0544
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0523
{txt}       Total {c |} {res}       1985     7,939   .25003149   {txt}Root MSE        =   {res} .48679

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0230399{col 44}{space 2} .0109387{col 55}{space 1}    2.11{col 64}{space 3}0.035{col 72}{space 4} .0015973{col 85}{space 3} .0444826
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2} -.060315{col 44}{space 2} .0240874{col 55}{space 1}   -2.50{col 64}{space 3}0.012{col 72}{space 4}-.1075326{col 85}{space 3}-.0130973
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .0128238{col 44}{space 2} .0244797{col 55}{space 1}    0.52{col 64}{space 3}0.600{col 72}{space 4}-.0351629{col 85}{space 3} .0608106
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2}-.0828527{col 44}{space 2} .0242183{col 55}{space 1}   -3.42{col 64}{space 3}0.001{col 72}{space 4} -.130327{col 85}{space 3}-.0353785
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2}-.0067972{col 44}{space 2} .0242981{col 55}{space 1}   -0.28{col 64}{space 3}0.780{col 72}{space 4}-.0544279{col 85}{space 3} .0408335
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2}  .002997{col 44}{space 2} .0239924{col 55}{space 1}    0.12{col 64}{space 3}0.901{col 72}{space 4}-.0440345{col 85}{space 3} .0500284
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} -.058788{col 44}{space 2} .0244281{col 55}{space 1}   -2.41{col 64}{space 3}0.016{col 72}{space 4}-.1066735{col 85}{space 3}-.0109024
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .0017113{col 44}{space 2} .0242856{col 55}{space 1}    0.07{col 64}{space 3}0.944{col 72}{space 4}-.0458949{col 85}{space 3} .0493175
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0232201{col 44}{space 2} .0245529{col 55}{space 1}    0.95{col 64}{space 3}0.344{col 72}{space 4}-.0249101{col 85}{space 3} .0713503
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.0243187{col 44}{space 2} .0248244{col 55}{space 1}   -0.98{col 64}{space 3}0.327{col 72}{space 4}-.0729811{col 85}{space 3} .0243436
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1229156{col 44}{space 2}  .010942{col 55}{space 1}  -11.23{col 64}{space 3}0.000{col 72}{space 4}-.1443648{col 85}{space 3}-.1014663
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0429552{col 44}{space 2}   .01364{col 55}{space 1}   -3.15{col 64}{space 3}0.002{col 72}{space 4}-.0696933{col 85}{space 3}-.0162172
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0323355{col 44}{space 2} .0136226{col 55}{space 1}    2.37{col 64}{space 3}0.018{col 72}{space 4} .0056316{col 85}{space 3} .0590395
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0205632{col 44}{space 2} .0134301{col 55}{space 1}    1.53{col 64}{space 3}0.126{col 72}{space 4}-.0057635{col 85}{space 3} .0468898
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0662072{col 44}{space 2} .0133526{col 55}{space 1}   -4.96{col 64}{space 3}0.000{col 72}{space 4}-.0923817{col 85}{space 3}-.0400326
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0778369{col 44}{space 2} .0133738{col 55}{space 1}   -5.82{col 64}{space 3}0.000{col 72}{space 4}-.1040531{col 85}{space 3}-.0516207
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0178329{col 44}{space 2} .0134167{col 55}{space 1}   -1.33{col 64}{space 3}0.184{col 72}{space 4}-.0441332{col 85}{space 3} .0084674
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1520782{col 44}{space 2} .0121053{col 55}{space 1}   12.56{col 64}{space 3}0.000{col 72}{space 4} .1283485{col 85}{space 3} .1758079
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}  .572613{col 44}{space 2} .0234428{col 55}{space 1}   24.43{col 64}{space 3}0.000{col 72}{space 4} .5266588{col 85}{space 3} .6185671
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto D

. 
. ftest C D
{txt}Assumption: {res}D{txt} nested in {res}C

{txt}F( 10,    7911) = {res}     4.86
{col 8}{txt}prob > F = {res}   0.0000

{com}. 
. 
. reg selected i.gender i.race##i.white_hispcompare i.nativity i.party i.ideology i.experience i.same_party, allbaselevels 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,508
{txt}{hline 13}{c +}{hline 34}   F(28, 7479)     = {res}    17.77
{txt}       Model {c |} {res} 117.064399        28  4.18087138   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  1759.9356     7,479  .235316968   {txt}R-squared       ={res}    0.0624
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0589
{txt}       Total {c |} {res}       1877     7,507  .250033302   {txt}Root MSE        =   {res} .48509

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0384407{col 44}{space 2} .0112063{col 55}{space 1}    3.43{col 64}{space 3}0.001{col 72}{space 4} .0164732{col 85}{space 3} .0604082
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}-.0719589{col 44}{space 2} .0345936{col 55}{space 1}   -2.08{col 64}{space 3}0.038{col 72}{space 4}-.1397721{col 85}{space 3}-.0041458
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2}-.1028893{col 44}{space 2} .0349515{col 55}{space 1}   -2.94{col 64}{space 3}0.003{col 72}{space 4} -.171404{col 85}{space 3}-.0343746
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2}-.1089541{col 44}{space 2} .0354357{col 55}{space 1}   -3.07{col 64}{space 3}0.002{col 72}{space 4} -.178418{col 85}{space 3}-.0394902
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2}-.0318159{col 44}{space 2}  .035174{col 55}{space 1}   -0.90{col 64}{space 3}0.366{col 72}{space 4}-.1007669{col 85}{space 3} .0371351
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} -.052745{col 44}{space 2} .0346054{col 55}{space 1}   -1.52{col 64}{space 3}0.128{col 72}{space 4}-.1205814{col 85}{space 3} .0150914
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} -.106527{col 44}{space 2} .0352988{col 55}{space 1}   -3.02{col 64}{space 3}0.003{col 72}{space 4}-.1757225{col 85}{space 3}-.0373315
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} -.106555{col 44}{space 2} .0349562{col 55}{space 1}   -3.05{col 64}{space 3}0.002{col 72}{space 4}-.1750791{col 85}{space 3}-.0380309
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2}-.0682794{col 44}{space 2} .0356105{col 55}{space 1}   -1.92{col 64}{space 3}0.055{col 72}{space 4}-.1380859{col 85}{space 3} .0015272
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.0483638{col 44}{space 2}  .035357{col 55}{space 1}   -1.37{col 64}{space 3}0.171{col 72}{space 4}-.1176735{col 85}{space 3} .0209459
{txt}{space 30} {c |}
{space 13}white_hispcompare {c |}
{space 28}0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 28}1  {c |}{col 32}{res}{space 2}-.1380671{col 44}{space 2} .0349477{col 55}{space 1}   -3.95{col 64}{space 3}0.000{col 72}{space 4}-.2065744{col 85}{space 3}-.0695598
{txt}{space 30} {c |}
{space 8}race#white_hispcompare {c |}
{space 22}White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}White#1  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#1  {c |}{col 32}{res}{space 2} .0508255{col 44}{space 2} .0495824{col 55}{space 1}    1.03{col 64}{space 3}0.305{col 72}{space 4}-.0463699{col 85}{space 3} .1480209
{txt}{space 22}Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Asian#1  {c |}{col 32}{res}{space 2} .1457192{col 44}{space 2} .0494108{col 55}{space 1}    2.95{col 64}{space 3}0.003{col 72}{space 4}   .04886{col 85}{space 3} .2425783
{txt}{space 19}Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Hispanic#1  {c |}{col 32}{res}{space 2} .2908398{col 44}{space 2}  .050146{col 55}{space 1}    5.80{col 64}{space 3}0.000{col 72}{space 4} .1925395{col 85}{space 3} .3891401
{txt}{space 12}Black and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and White#1  {c |}{col 32}{res}{space 2} .1065711{col 44}{space 2} .0501147{col 55}{space 1}    2.13{col 64}{space 3}0.033{col 72}{space 4} .0083321{col 85}{space 3}   .20481
{txt}{space 12}Black and Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and Asian#1  {c |}{col 32}{res}{space 2} .0855428{col 44}{space 2} .0492291{col 55}{space 1}    1.74{col 64}{space 3}0.082{col 72}{space 4}-.0109601{col 85}{space 3} .1820457
{txt}{space 9}Black and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Black and Hispanic#1  {c |}{col 32}{res}{space 2} .2398866{col 44}{space 2} .0497109{col 55}{space 1}    4.83{col 64}{space 3}0.000{col 72}{space 4} .1424392{col 85}{space 3}  .337334
{txt}{space 9}Asian and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Asian and Hispanic#1  {c |}{col 32}{res}{space 2} .2171237{col 44}{space 2} .0496719{col 55}{space 1}    4.37{col 64}{space 3}0.000{col 72}{space 4} .1197529{col 85}{space 3} .3144946
{txt}{space 12}Asian and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Asian and White#1  {c |}{col 32}{res}{space 2} .1438152{col 44}{space 2} .0504283{col 55}{space 1}    2.85{col 64}{space 3}0.004{col 72}{space 4} .0449615{col 85}{space 3} .2426688
{txt}{space 9}Hispanic and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Hispanic and White#1  {c |}{col 32}{res}{space 2} .1959544{col 44}{space 2} .0500269{col 55}{space 1}    3.92{col 64}{space 3}0.000{col 72}{space 4} .0978876{col 85}{space 3} .2940213
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1440732{col 44}{space 2} .0112329{col 55}{space 1}  -12.83{col 64}{space 3}0.000{col 72}{space 4}-.1660929{col 85}{space 3}-.1220535
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2} -.054152{col 44}{space 2} .0140007{col 55}{space 1}   -3.87{col 64}{space 3}0.000{col 72}{space 4}-.0815973{col 85}{space 3}-.0267067
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0517904{col 44}{space 2} .0139447{col 55}{space 1}    3.71{col 64}{space 3}0.000{col 72}{space 4} .0244547{col 85}{space 3}  .079126
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0043766{col 44}{space 2} .0137721{col 55}{space 1}   -0.32{col 64}{space 3}0.751{col 72}{space 4}-.0313738{col 85}{space 3} .0226205
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0603915{col 44}{space 2} .0136975{col 55}{space 1}   -4.41{col 64}{space 3}0.000{col 72}{space 4}-.0872424{col 85}{space 3}-.0335406
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0690116{col 44}{space 2} .0137704{col 55}{space 1}   -5.01{col 64}{space 3}0.000{col 72}{space 4}-.0960054{col 85}{space 3}-.0420177
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0077737{col 44}{space 2} .0138059{col 55}{space 1}   -0.56{col 64}{space 3}0.573{col 72}{space 4}-.0348371{col 85}{space 3} .0192897
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1326575{col 44}{space 2} .0124836{col 55}{space 1}   10.63{col 64}{space 3}0.000{col 72}{space 4} .1081861{col 85}{space 3} .1571289
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .6251884{col 44}{space 2} .0296513{col 55}{space 1}   21.08{col 64}{space 3}0.000{col 72}{space 4} .5670635{col 85}{space 3} .6833133
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto E 

. 
. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party if white==1 | hispanic==1, allbaselevels 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,508
{txt}{hline 13}{c +}{hline 34}   F(18, 7489)     = {res}    24.21
{txt}       Model {c |} {res}  103.20619        18   5.7336772   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1773.79381     7,489  .236853226   {txt}R-squared       ={res}    0.0550
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0527
{txt}       Total {c |} {res}       1877     7,507  .250033302   {txt}Root MSE        =   {res} .48668

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0386319{col 44}{space 2} .0112395{col 55}{space 1}    3.44{col 64}{space 3}0.001{col 72}{space 4} .0165994{col 85}{space 3} .0606644
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}-.0442374{col 44}{space 2} .0248519{col 55}{space 1}   -1.78{col 64}{space 3}0.075{col 72}{space 4}-.0929541{col 85}{space 3} .0044793
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2}-.0299835{col 44}{space 2} .0247813{col 55}{space 1}   -1.21{col 64}{space 3}0.226{col 72}{space 4}-.0785618{col 85}{space 3} .0185948
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2}  .036302{col 44}{space 2} .0251529{col 55}{space 1}    1.44{col 64}{space 3}0.149{col 72}{space 4}-.0130047{col 85}{space 3} .0856087
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0220993{col 44}{space 2} .0251382{col 55}{space 1}    0.88{col 64}{space 3}0.379{col 72}{space 4}-.0271787{col 85}{space 3} .0713773
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2}-.0091535{col 44}{space 2} .0247031{col 55}{space 1}   -0.37{col 64}{space 3}0.711{col 72}{space 4}-.0575786{col 85}{space 3} .0392716
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2}   .01427{col 44}{space 2} .0249449{col 55}{space 1}    0.57{col 64}{space 3}0.567{col 72}{space 4} -.034629{col 85}{space 3} .0631689
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .0013004{col 44}{space 2} .0249077{col 55}{space 1}    0.05{col 64}{space 3}0.958{col 72}{space 4}-.0475258{col 85}{space 3} .0501265
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0035576{col 44}{space 2} .0252962{col 55}{space 1}    0.14{col 64}{space 3}0.888{col 72}{space 4}-.0460301{col 85}{space 3} .0531453
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .0496532{col 44}{space 2} .0250875{col 55}{space 1}    1.98{col 64}{space 3}0.048{col 72}{space 4} .0004747{col 85}{space 3} .0988317
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1443299{col 44}{space 2} .0112585{col 55}{space 1}  -12.82{col 64}{space 3}0.000{col 72}{space 4}-.1663997{col 85}{space 3}-.1222602
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0549328{col 44}{space 2} .0140429{col 55}{space 1}   -3.91{col 64}{space 3}0.000{col 72}{space 4}-.0824608{col 85}{space 3}-.0274048
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0501706{col 44}{space 2} .0139828{col 55}{space 1}    3.59{col 64}{space 3}0.000{col 72}{space 4} .0227604{col 85}{space 3} .0775809
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0071915{col 44}{space 2} .0137981{col 55}{space 1}   -0.52{col 64}{space 3}0.602{col 72}{space 4}-.0342397{col 85}{space 3} .0198567
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0614062{col 44}{space 2} .0137325{col 55}{space 1}   -4.47{col 64}{space 3}0.000{col 72}{space 4}-.0883256{col 85}{space 3}-.0344867
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0694941{col 44}{space 2} .0138025{col 55}{space 1}   -5.03{col 64}{space 3}0.000{col 72}{space 4}-.0965509{col 85}{space 3}-.0424372
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0082717{col 44}{space 2} .0138421{col 55}{space 1}   -0.60{col 64}{space 3}0.550{col 72}{space 4}-.0354061{col 85}{space 3} .0188628
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1337047{col 44}{space 2} .0125166{col 55}{space 1}   10.68{col 64}{space 3}0.000{col 72}{space 4} .1091686{col 85}{space 3} .1582408
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5581818{col 44}{space 2} .0243952{col 55}{space 1}   22.88{col 64}{space 3}0.000{col 72}{space 4} .5103604{col 85}{space 3} .6060031
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto F

. 
. ftest E F
{txt}Assumption: {res}F{txt} nested in {res}E

{txt}F( 10,    7479) = {res}     5.89
{col 8}{txt}prob > F = {res}   0.0000

{com}. 
. reg selected i.gender i.race##i.black_asiancompare i.nativity i.party i.ideology i.experience i.same_party, allbaselevels 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     8,200
{txt}{hline 13}{c +}{hline 34}   F(28, 8171)     = {res}    23.72
{txt}       Model {c |} {res} 154.133288        28   5.5047603   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1895.86671     8,171   .23202383   {txt}R-squared       ={res}    0.0752
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0720
{txt}       Total {c |} {res}       2050     8,199  .250030492   {txt}Root MSE        =   {res} .48169

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0075736{col 44}{space 2} .0106537{col 55}{space 1}    0.71{col 64}{space 3}0.477{col 72}{space 4}-.0133103{col 85}{space 3} .0284575
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}  .227655{col 44}{space 2} .0334712{col 55}{space 1}    6.80{col 64}{space 3}0.000{col 72}{space 4}  .162043{col 85}{space 3} .2932671
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .0800808{col 44}{space 2} .0340903{col 55}{space 1}    2.35{col 64}{space 3}0.019{col 72}{space 4} .0132551{col 85}{space 3} .1469065
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2}  .106018{col 44}{space 2} .0332153{col 55}{space 1}    3.19{col 64}{space 3}0.001{col 72}{space 4} .0409075{col 85}{space 3} .1711285
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .1923096{col 44}{space 2} .0330451{col 55}{space 1}    5.82{col 64}{space 3}0.000{col 72}{space 4} .1275328{col 85}{space 3} .2570865
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .1992513{col 44}{space 2} .0344073{col 55}{space 1}    5.79{col 64}{space 3}0.000{col 72}{space 4} .1318042{col 85}{space 3} .2666984
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .2189139{col 44}{space 2} .0341352{col 55}{space 1}    6.41{col 64}{space 3}0.000{col 72}{space 4} .1520002{col 85}{space 3} .2858276
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}  .105136{col 44}{space 2} .0347878{col 55}{space 1}    3.02{col 64}{space 3}0.003{col 72}{space 4} .0369431{col 85}{space 3}  .173329
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0535271{col 44}{space 2} .0337781{col 55}{space 1}    1.58{col 64}{space 3}0.113{col 72}{space 4}-.0126866{col 85}{space 3} .1197408
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .1305545{col 44}{space 2} .0346367{col 55}{space 1}    3.77{col 64}{space 3}0.000{col 72}{space 4} .0626577{col 85}{space 3} .1984513
{txt}{space 30} {c |}
{space 12}black_asiancompare {c |}
{space 28}0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 28}1  {c |}{col 32}{res}{space 2} .1067706{col 44}{space 2}  .033585{col 55}{space 1}    3.18{col 64}{space 3}0.001{col 72}{space 4} .0409354{col 85}{space 3} .1726058
{txt}{space 30} {c |}
{space 7}race#black_asiancompare {c |}
{space 22}White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}White#1  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#1  {c |}{col 32}{res}{space 2}-.2738191{col 44}{space 2} .0470727{col 55}{space 1}   -5.82{col 64}{space 3}0.000{col 72}{space 4}-.3660936{col 85}{space 3}-.1815445
{txt}{space 22}Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Asian#1  {c |}{col 32}{res}{space 2} .0457115{col 44}{space 2} .0480261{col 55}{space 1}    0.95{col 64}{space 3}0.341{col 72}{space 4}-.0484318{col 85}{space 3} .1398549
{txt}{space 19}Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Hispanic#1  {c |}{col 32}{res}{space 2} -.159655{col 44}{space 2} .0466344{col 55}{space 1}   -3.42{col 64}{space 3}0.001{col 72}{space 4}-.2510702{col 85}{space 3}-.0682398
{txt}{space 12}Black and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and White#1  {c |}{col 32}{res}{space 2}-.1743139{col 44}{space 2} .0468128{col 55}{space 1}   -3.72{col 64}{space 3}0.000{col 72}{space 4}-.2660788{col 85}{space 3}-.0825489
{txt}{space 12}Black and Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and Asian#1  {c |}{col 32}{res}{space 2}-.1433218{col 44}{space 2}  .047588{col 55}{space 1}   -3.01{col 64}{space 3}0.003{col 72}{space 4}-.2366063{col 85}{space 3}-.0500373
{txt}{space 9}Black and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Black and Hispanic#1  {c |}{col 32}{res}{space 2}-.2306539{col 44}{space 2} .0477328{col 55}{space 1}   -4.83{col 64}{space 3}0.000{col 72}{space 4}-.3242223{col 85}{space 3}-.1370854
{txt}{space 9}Asian and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Asian and Hispanic#1  {c |}{col 32}{res}{space 2} .0016206{col 44}{space 2} .0481424{col 55}{space 1}    0.03{col 64}{space 3}0.973{col 72}{space 4}-.0927509{col 85}{space 3}  .095992
{txt}{space 12}Asian and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Asian and White#1  {c |}{col 32}{res}{space 2} .0573918{col 44}{space 2} .0475467{col 55}{space 1}    1.21{col 64}{space 3}0.227{col 72}{space 4}-.0358119{col 85}{space 3} .1505954
{txt}{space 9}Hispanic and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Hispanic and White#1  {c |}{col 32}{res}{space 2}-.1313944{col 44}{space 2} .0488317{col 55}{space 1}   -2.69{col 64}{space 3}0.007{col 72}{space 4}-.2271169{col 85}{space 3}-.0356719
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.0985925{col 44}{space 2} .0106529{col 55}{space 1}   -9.25{col 64}{space 3}0.000{col 72}{space 4} -.119475{col 85}{space 3}  -.07771
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0956315{col 44}{space 2} .0145125{col 55}{space 1}   -6.59{col 64}{space 3}0.000{col 72}{space 4}-.1240798{col 85}{space 3}-.0671833
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0189908{col 44}{space 2} .0141315{col 55}{space 1}    1.34{col 64}{space 3}0.179{col 72}{space 4}-.0087106{col 85}{space 3} .0466921
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}  .013136{col 44}{space 2} .0130519{col 55}{space 1}    1.01{col 64}{space 3}0.314{col 72}{space 4} -.012449{col 85}{space 3} .0387211
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0937619{col 44}{space 2} .0130731{col 55}{space 1}   -7.17{col 64}{space 3}0.000{col 72}{space 4}-.1193885{col 85}{space 3}-.0681352
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0713074{col 44}{space 2}  .013063{col 55}{space 1}   -5.46{col 64}{space 3}0.000{col 72}{space 4}-.0969142{col 85}{space 3}-.0457006
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0338099{col 44}{space 2} .0130626{col 55}{space 1}   -2.59{col 64}{space 3}0.010{col 72}{space 4}-.0594159{col 85}{space 3} -.008204
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1487116{col 44}{space 2} .0129782{col 55}{space 1}   11.46{col 64}{space 3}0.000{col 72}{space 4}  .123271{col 85}{space 3} .1741522
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .4528147{col 44}{space 2} .0291946{col 55}{space 1}   15.51{col 64}{space 3}0.000{col 72}{space 4}  .395586{col 85}{space 3} .5100435
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto G

. 
. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party if black==1 | asian==1, allbaselevels 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     8,200
{txt}{hline 13}{c +}{hline 34}   F(18, 8181)     = {res}    30.36
{txt}       Model {c |} {res} 128.364316        18  7.13135091   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1921.63568     8,181  .234890073   {txt}R-squared       ={res}    0.0626
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0606
{txt}       Total {c |} {res}       2050     8,199  .250030492   {txt}Root MSE        =   {res} .48465

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0094334{col 44}{space 2} .0107132{col 55}{space 1}    0.88{col 64}{space 3}0.379{col 72}{space 4}-.0115671{col 85}{space 3} .0304339
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}  .089685{col 44}{space 2} .0236778{col 55}{space 1}    3.79{col 64}{space 3}0.000{col 72}{space 4} .0432704{col 85}{space 3} .1360995
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2}  .100572{col 44}{space 2} .0241684{col 55}{space 1}    4.16{col 64}{space 3}0.000{col 72}{space 4} .0531959{col 85}{space 3} .1479482
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .0246423{col 44}{space 2} .0234642{col 55}{space 1}    1.05{col 64}{space 3}0.294{col 72}{space 4}-.0213534{col 85}{space 3}  .070638
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2}  .104825{col 44}{space 2} .0235354{col 55}{space 1}    4.45{col 64}{space 3}0.000{col 72}{space 4} .0586896{col 85}{space 3} .1509604
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .1249097{col 44}{space 2} .0239083{col 55}{space 1}    5.22{col 64}{space 3}0.000{col 72}{space 4} .0780434{col 85}{space 3} .1717761
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .1009264{col 44}{space 2}  .024011{col 55}{space 1}    4.20{col 64}{space 3}0.000{col 72}{space 4} .0538588{col 85}{space 3}  .147994
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .1076718{col 44}{space 2}  .024203{col 55}{space 1}    4.45{col 64}{space 3}0.000{col 72}{space 4} .0602279{col 85}{space 3} .1551158
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0801592{col 44}{space 2} .0239184{col 55}{space 1}    3.35{col 64}{space 3}0.001{col 72}{space 4} .0332731{col 85}{space 3} .1270454
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .0634166{col 44}{space 2} .0245507{col 55}{space 1}    2.58{col 64}{space 3}0.010{col 72}{space 4} .0152909{col 85}{space 3} .1115422
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.0982835{col 44}{space 2} .0107155{col 55}{space 1}   -9.17{col 64}{space 3}0.000{col 72}{space 4}-.1192886{col 85}{space 3}-.0772785
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0960394{col 44}{space 2} .0145885{col 55}{space 1}   -6.58{col 64}{space 3}0.000{col 72}{space 4}-.1246365{col 85}{space 3}-.0674422
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0191427{col 44}{space 2} .0142069{col 55}{space 1}    1.35{col 64}{space 3}0.178{col 72}{space 4}-.0087064{col 85}{space 3} .0469917
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0144514{col 44}{space 2} .0131263{col 55}{space 1}    1.10{col 64}{space 3}0.271{col 72}{space 4}-.0112794{col 85}{space 3} .0401822
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0910051{col 44}{space 2} .0131454{col 55}{space 1}   -6.92{col 64}{space 3}0.000{col 72}{space 4}-.1167733{col 85}{space 3}-.0652368
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0704166{col 44}{space 2} .0131312{col 55}{space 1}   -5.36{col 64}{space 3}0.000{col 72}{space 4}-.0961571{col 85}{space 3}-.0446761
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0350958{col 44}{space 2} .0131328{col 55}{space 1}   -2.67{col 64}{space 3}0.008{col 72}{space 4}-.0608393{col 85}{space 3}-.0093522
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1472408{col 44}{space 2} .0130507{col 55}{space 1}   11.28{col 64}{space 3}0.000{col 72}{space 4} .1216582{col 85}{space 3} .1728234
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5059352{col 44}{space 2}  .023799{col 55}{space 1}   21.26{col 64}{space 3}0.000{col 72}{space 4} .4592832{col 85}{space 3} .5525873
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto H

. 
. ftest G H
{txt}Assumption: {res}H{txt} nested in {res}G

{txt}F( 10,    8171) = {res}    11.11
{col 8}{txt}prob > F = {res}   0.0000

{com}. 
. reg selected i.gender i.race##i.black_hispcompare i.nativity i.party i.ideology i.experience i.same_party, allbaselevels 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,768
{txt}{hline 13}{c +}{hline 34}   F(28, 7739)     = {res}    23.17
{txt}       Model {c |} {res} 150.199022        28   5.3642508   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1791.80098     7,739  .231528748   {txt}R-squared       ={res}    0.0773
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0740
{txt}       Total {c |} {res}       1942     7,767  .250032187   {txt}Root MSE        =   {res} .48117

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0225418{col 44}{space 2} .0109348{col 55}{space 1}    2.06{col 64}{space 3}0.039{col 72}{space 4} .0011066{col 85}{space 3} .0439769
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}  .227214{col 44}{space 2} .0334361{col 55}{space 1}    6.80{col 64}{space 3}0.000{col 72}{space 4} .1616701{col 85}{space 3} .2927579
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .0816594{col 44}{space 2} .0340547{col 55}{space 1}    2.40{col 64}{space 3}0.017{col 72}{space 4}  .014903{col 85}{space 3} .1484157
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .1069382{col 44}{space 2} .0331804{col 55}{space 1}    3.22{col 64}{space 3}0.001{col 72}{space 4} .0418956{col 85}{space 3} .1719808
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .1929467{col 44}{space 2}  .033011{col 55}{space 1}    5.84{col 64}{space 3}0.000{col 72}{space 4} .1282362{col 85}{space 3} .2576571
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .1984711{col 44}{space 2} .0343714{col 55}{space 1}    5.77{col 64}{space 3}0.000{col 72}{space 4} .1310938{col 85}{space 3} .2658484
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .2192882{col 44}{space 2} .0340994{col 55}{space 1}    6.43{col 64}{space 3}0.000{col 72}{space 4} .1524441{col 85}{space 3} .2861323
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .1069105{col 44}{space 2} .0347518{col 55}{space 1}    3.08{col 64}{space 3}0.002{col 72}{space 4} .0387875{col 85}{space 3} .1750334
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0531878{col 44}{space 2} .0337425{col 55}{space 1}    1.58{col 64}{space 3}0.115{col 72}{space 4}-.0129565{col 85}{space 3} .1193322
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .1288831{col 44}{space 2} .0346022{col 55}{space 1}    3.72{col 64}{space 3}0.000{col 72}{space 4} .0610534{col 85}{space 3} .1967128
{txt}{space 30} {c |}
{space 13}black_hispcompare {c |}
{space 28}0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 28}1  {c |}{col 32}{res}{space 2} .0604458{col 44}{space 2} .0343236{col 55}{space 1}    1.76{col 64}{space 3}0.078{col 72}{space 4}-.0068378{col 85}{space 3} .1277295
{txt}{space 30} {c |}
{space 8}race#black_hispcompare {c |}
{space 22}White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}White#1  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#1  {c |}{col 32}{res}{space 2}-.2463102{col 44}{space 2} .0485656{col 55}{space 1}   -5.07{col 64}{space 3}0.000{col 72}{space 4}-.3415118{col 85}{space 3}-.1511085
{txt}{space 22}Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Asian#1  {c |}{col 32}{res}{space 2}-.0380269{col 44}{space 2} .0485778{col 55}{space 1}   -0.78{col 64}{space 3}0.434{col 72}{space 4}-.1332525{col 85}{space 3} .0571988
{txt}{space 19}Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Hispanic#1  {c |}{col 32}{res}{space 2} .0773373{col 44}{space 2}   .04836{col 55}{space 1}    1.60{col 64}{space 3}0.110{col 72}{space 4}-.0174615{col 85}{space 3} .1721361
{txt}{space 12}Black and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and White#1  {c |}{col 32}{res}{space 2}-.1162084{col 44}{space 2} .0484075{col 55}{space 1}   -2.40{col 64}{space 3}0.016{col 72}{space 4}-.2111002{col 85}{space 3}-.0213167
{txt}{space 12}Black and Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and Asian#1  {c |}{col 32}{res}{space 2}-.1630249{col 44}{space 2} .0488718{col 55}{space 1}   -3.34{col 64}{space 3}0.001{col 72}{space 4}-.2588269{col 85}{space 3}-.0672229
{txt}{space 9}Black and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Black and Hispanic#1  {c |}{col 32}{res}{space 2}-.0846956{col 44}{space 2} .0486794{col 55}{space 1}   -1.74{col 64}{space 3}0.082{col 72}{space 4}-.1801204{col 85}{space 3} .0107293
{txt}{space 9}Asian and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Asian and Hispanic#1  {c |}{col 32}{res}{space 2} .0025561{col 44}{space 2} .0493294{col 55}{space 1}    0.05{col 64}{space 3}0.959{col 72}{space 4}-.0941429{col 85}{space 3}  .099255
{txt}{space 12}Asian and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Asian and White#1  {c |}{col 32}{res}{space 2} .0224517{col 44}{space 2} .0489196{col 55}{space 1}    0.46{col 64}{space 3}0.646{col 72}{space 4} -.073444{col 85}{space 3} .1183473
{txt}{space 9}Hispanic and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Hispanic and White#1  {c |}{col 32}{res}{space 2} .0213562{col 44}{space 2} .0492989{col 55}{space 1}    0.43{col 64}{space 3}0.665{col 72}{space 4}-.0752831{col 85}{space 3} .1179955
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1200379{col 44}{space 2}  .010942{col 55}{space 1}  -10.97{col 64}{space 3}0.000{col 72}{space 4}-.1414872{col 85}{space 3}-.0985887
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.1179897{col 44}{space 2} .0151685{col 55}{space 1}   -7.78{col 64}{space 3}0.000{col 72}{space 4}-.1477241{col 85}{space 3}-.0882552
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0302863{col 44}{space 2} .0145206{col 55}{space 1}    2.09{col 64}{space 3}0.037{col 72}{space 4}  .001822{col 85}{space 3} .0587506
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0099602{col 44}{space 2} .0133945{col 55}{space 1}   -0.74{col 64}{space 3}0.457{col 72}{space 4} -.036217{col 85}{space 3} .0162967
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0886788{col 44}{space 2} .0134282{col 55}{space 1}   -6.60{col 64}{space 3}0.000{col 72}{space 4}-.1150017{col 85}{space 3} -.062356
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0645978{col 44}{space 2}  .013447{col 55}{space 1}   -4.80{col 64}{space 3}0.000{col 72}{space 4}-.0909576{col 85}{space 3} -.038238
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0290871{col 44}{space 2} .0134547{col 55}{space 1}   -2.16{col 64}{space 3}0.031{col 72}{space 4}-.0554619{col 85}{space 3}-.0027122
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1214572{col 44}{space 2} .0135939{col 55}{space 1}    8.93{col 64}{space 3}0.000{col 72}{space 4} .0948095{col 85}{space 3} .1481048
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .4700763{col 44}{space 2} .0296235{col 55}{space 1}   15.87{col 64}{space 3}0.000{col 72}{space 4} .4120061{col 85}{space 3} .5281464
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto I 

. 
. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party if black==1 | hispanic==1, allbaselevels 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,768
{txt}{hline 13}{c +}{hline 34}   F(18, 7749)     = {res}    31.60
{txt}       Model {c |} {res}  132.78984        18  7.37721332   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1809.21016     7,749  .233476598   {txt}R-squared       ={res}    0.0684
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0662
{txt}       Total {c |} {res}       1942     7,767  .250032187   {txt}Root MSE        =   {res} .48319

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0228488{col 44}{space 2} .0109762{col 55}{space 1}    2.08{col 64}{space 3}0.037{col 72}{space 4} .0013325{col 85}{space 3}  .044365
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2} .1125668{col 44}{space 2} .0243418{col 55}{space 1}    4.62{col 64}{space 3}0.000{col 72}{space 4} .0648502{col 85}{space 3} .1602833
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .0630052{col 44}{space 2} .0243829{col 55}{space 1}    2.58{col 64}{space 3}0.010{col 72}{space 4}  .015208{col 85}{space 3} .1108023
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .1393244{col 44}{space 2} .0242265{col 55}{space 1}    5.75{col 64}{space 3}0.000{col 72}{space 4} .0918339{col 85}{space 3} .1868149
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .1387708{col 44}{space 2} .0242176{col 55}{space 1}    5.73{col 64}{space 3}0.000{col 72}{space 4} .0912979{col 85}{space 3} .1862438
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .1176976{col 44}{space 2} .0245387{col 55}{space 1}    4.80{col 64}{space 3}0.000{col 72}{space 4} .0695952{col 85}{space 3} .1658001
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .1777381{col 44}{space 2} .0244316{col 55}{space 1}    7.27{col 64}{space 3}0.000{col 72}{space 4} .1298454{col 85}{space 3} .2256307
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}  .108882{col 44}{space 2}  .024755{col 55}{space 1}    4.40{col 64}{space 3}0.000{col 72}{space 4} .0603556{col 85}{space 3} .1574084
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0618248{col 44}{space 2} .0245211{col 55}{space 1}    2.52{col 64}{space 3}0.012{col 72}{space 4} .0137569{col 85}{space 3} .1098928
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .1397545{col 44}{space 2} .0247349{col 55}{space 1}    5.65{col 64}{space 3}0.000{col 72}{space 4} .0912674{col 85}{space 3} .1882417
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1200971{col 44}{space 2} .0109833{col 55}{space 1}  -10.93{col 64}{space 3}0.000{col 72}{space 4}-.1416274{col 85}{space 3}-.0985668
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.1192392{col 44}{space 2} .0152224{col 55}{space 1}   -7.83{col 64}{space 3}0.000{col 72}{space 4}-.1490793{col 85}{space 3}-.0893991
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0288481{col 44}{space 2} .0145698{col 55}{space 1}    1.98{col 64}{space 3}0.048{col 72}{space 4} .0002874{col 85}{space 3} .0574088
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0092371{col 44}{space 2} .0134364{col 55}{space 1}   -0.69{col 64}{space 3}0.492{col 72}{space 4} -.035576{col 85}{space 3} .0171019
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0882018{col 44}{space 2}  .013476{col 55}{space 1}   -6.55{col 64}{space 3}0.000{col 72}{space 4}-.1146185{col 85}{space 3}-.0617851
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2} -.062725{col 44}{space 2} .0134892{col 55}{space 1}   -4.65{col 64}{space 3}0.000{col 72}{space 4}-.0891675{col 85}{space 3}-.0362825
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0274998{col 44}{space 2} .0135042{col 55}{space 1}   -2.04{col 64}{space 3}0.042{col 72}{space 4}-.0539717{col 85}{space 3}-.0010279
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1219531{col 44}{space 2} .0136378{col 55}{space 1}    8.94{col 64}{space 3}0.000{col 72}{space 4} .0952194{col 85}{space 3} .1486868
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .4987829{col 44}{space 2} .0247843{col 55}{space 1}   20.12{col 64}{space 3}0.000{col 72}{space 4} .4501989{col 85}{space 3} .5473669
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto J

. 
. ftest I J
{txt}Assumption: {res}J{txt} nested in {res}I

{txt}F( 10,    7739) = {res}     7.52
{col 8}{txt}prob > F = {res}   0.0000

{com}. 
. reg selected i.gender i.race##i.asian_hispcompare i.nativity i.party i.ideology i.experience i.same_party, allbaselevels

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,848
{txt}{hline 13}{c +}{hline 34}   F(28, 7819)     = {res}    18.29
{txt}       Model {c |} {res} 120.624611        28  4.30802181   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1841.37539     7,819  .235500114   {txt}R-squared       ={res}    0.0615
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0581
{txt}       Total {c |} {res}       1962     7,847  .250031859   {txt}Root MSE        =   {res} .48528

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0121647{col 44}{space 2} .0109709{col 55}{space 1}    1.11{col 64}{space 3}0.268{col 72}{space 4}-.0093411{col 85}{space 3} .0336706
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}-.0480994{col 44}{space 2} .0333475{col 55}{space 1}   -1.44{col 64}{space 3}0.149{col 72}{space 4}-.1134695{col 85}{space 3} .0172706
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .1245113{col 44}{space 2} .0340999{col 55}{space 1}    3.65{col 64}{space 3}0.000{col 72}{space 4} .0576663{col 85}{space 3} .1913562
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2}-.0553973{col 44}{space 2} .0329906{col 55}{space 1}   -1.68{col 64}{space 3}0.093{col 72}{space 4}-.1200678{col 85}{space 3} .0092731
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0176018{col 44}{space 2}  .033401{col 55}{space 1}    0.53{col 64}{space 3}0.598{col 72}{space 4}-.0478731{col 85}{space 3} .0830768
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0558144{col 44}{space 2} .0331165{col 55}{space 1}    1.69{col 64}{space 3}0.092{col 72}{space 4}-.0091028{col 85}{space 3} .1207316
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2}-.0134088{col 44}{space 2} .0336203{col 55}{space 1}   -0.40{col 64}{space 3}0.690{col 72}{space 4}-.0793135{col 85}{space 3} .0524959
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .1053592{col 44}{space 2} .0335425{col 55}{space 1}    3.14{col 64}{space 3}0.002{col 72}{space 4} .0396069{col 85}{space 3} .1711115
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .1082545{col 44}{space 2} .0337154{col 55}{space 1}    3.21{col 64}{space 3}0.001{col 72}{space 4} .0421634{col 85}{space 3} .1743457
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.0033506{col 44}{space 2} .0346618{col 55}{space 1}   -0.10{col 64}{space 3}0.923{col 72}{space 4}-.0712969{col 85}{space 3} .0645957
{txt}{space 30} {c |}
{space 13}asian_hispcompare {c |}
{space 28}0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 28}1  {c |}{col 32}{res}{space 2}-.0468201{col 44}{space 2} .0341618{col 55}{space 1}   -1.37{col 64}{space 3}0.171{col 72}{space 4}-.1137863{col 85}{space 3} .0201461
{txt}{space 30} {c |}
{space 8}race#asian_hispcompare {c |}
{space 22}White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}White#1  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Black#1  {c |}{col 32}{res}{space 2} .0278035{col 44}{space 2} .0487183{col 55}{space 1}    0.57{col 64}{space 3}0.568{col 72}{space 4}-.0676974{col 85}{space 3} .1233044
{txt}{space 22}Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 22}Asian#1  {c |}{col 32}{res}{space 2}-.0825646{col 44}{space 2} .0488125{col 55}{space 1}   -1.69{col 64}{space 3}0.091{col 72}{space 4}-.1782502{col 85}{space 3}  .013121
{txt}{space 19}Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Hispanic#1  {c |}{col 32}{res}{space 2} .2379316{col 44}{space 2} .0484381{col 55}{space 1}    4.91{col 64}{space 3}0.000{col 72}{space 4}   .14298{col 85}{space 3} .3328832
{txt}{space 12}Black and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and White#1  {c |}{col 32}{res}{space 2} .0572289{col 44}{space 2} .0489104{col 55}{space 1}    1.17{col 64}{space 3}0.242{col 72}{space 4}-.0386485{col 85}{space 3} .1531063
{txt}{space 12}Black and Asian#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Black and Asian#1  {c |}{col 32}{res}{space 2} -.021486{col 44}{space 2} .0482198{col 55}{space 1}   -0.45{col 64}{space 3}0.656{col 72}{space 4}-.1160096{col 85}{space 3} .0730376
{txt}{space 9}Black and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Black and Hispanic#1  {c |}{col 32}{res}{space 2} .1461789{col 44}{space 2} .0485562{col 55}{space 1}    3.01{col 64}{space 3}0.003{col 72}{space 4} .0509958{col 85}{space 3}  .241362
{txt}{space 9}Asian and Hispanic#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Asian and Hispanic#1  {c |}{col 32}{res}{space 2} .0046572{col 44}{space 2}  .048694{col 55}{space 1}    0.10{col 64}{space 3}0.924{col 72}{space 4}-.0907962{col 85}{space 3} .1001105
{txt}{space 12}Asian and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 12}Asian and White#1  {c |}{col 32}{res}{space 2} -.033565{col 44}{space 2} .0491146{col 55}{space 1}   -0.68{col 64}{space 3}0.494{col 72}{space 4}-.1298427{col 85}{space 3} .0627128
{txt}{space 9}Hispanic and White#0  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Hispanic and White#1  {c |}{col 32}{res}{space 2} .1534023{col 44}{space 2} .0495338{col 55}{space 1}    3.10{col 64}{space 3}0.002{col 72}{space 4} .0563027{col 85}{space 3} .2505019
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1051214{col 44}{space 2} .0109803{col 55}{space 1}   -9.57{col 64}{space 3}0.000{col 72}{space 4}-.1266458{col 85}{space 3}-.0835969
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0630874{col 44}{space 2} .0139583{col 55}{space 1}   -4.52{col 64}{space 3}0.000{col 72}{space 4}-.0904494{col 85}{space 3}-.0357253
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0342869{col 44}{space 2} .0137587{col 55}{space 1}    2.49{col 64}{space 3}0.013{col 72}{space 4} .0073161{col 85}{space 3} .0612577
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0085146{col 44}{space 2} .0134844{col 55}{space 1}    0.63{col 64}{space 3}0.528{col 72}{space 4}-.0179184{col 85}{space 3} .0349476
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0771562{col 44}{space 2} .0134158{col 55}{space 1}   -5.75{col 64}{space 3}0.000{col 72}{space 4}-.1034548{col 85}{space 3}-.0508576
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0832782{col 44}{space 2}  .013402{col 55}{space 1}   -6.21{col 64}{space 3}0.000{col 72}{space 4}-.1095496{col 85}{space 3}-.0570068
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0215381{col 44}{space 2} .0135938{col 55}{space 1}   -1.58{col 64}{space 3}0.113{col 72}{space 4}-.0481856{col 85}{space 3} .0051094
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1345394{col 44}{space 2} .0124351{col 55}{space 1}   10.82{col 64}{space 3}0.000{col 72}{space 4} .1101632{col 85}{space 3} .1589156
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5463362{col 44}{space 2} .0287739{col 55}{space 1}   18.99{col 64}{space 3}0.000{col 72}{space 4} .4899316{col 85}{space 3} .6027408
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto K

. 
. reg selected i.gender i.race i.nativity i.party i.ideology i.experience i.same_party if asian==1 | hispanic==1, allbaselevels 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     7,848
{txt}{hline 13}{c +}{hline 34}   F(18, 7829)     = {res}    24.10
{txt}       Model {c |} {res} 102.994844        18  5.72193576   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1859.00516     7,829  .237451163   {txt}R-squared       ={res}    0.0525
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0503
{txt}       Total {c |} {res}       1962     7,847  .250031859   {txt}Root MSE        =   {res} .48729

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0131691{col 44}{space 2} .0110116{col 55}{space 1}    1.20{col 64}{space 3}0.232{col 72}{space 4}-.0084166{col 85}{space 3} .0347548
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2}-.0344603{col 44}{space 2} .0244154{col 55}{space 1}   -1.41{col 64}{space 3}0.158{col 72}{space 4}-.0823211{col 85}{space 3} .0134005
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .0825165{col 44}{space 2} .0244986{col 55}{space 1}    3.37{col 64}{space 3}0.001{col 72}{space 4} .0344928{col 85}{space 3} .1305403
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .0529051{col 44}{space 2}  .024263{col 55}{space 1}    2.18{col 64}{space 3}0.029{col 72}{space 4} .0053432{col 85}{space 3} .1004671
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0447381{col 44}{space 2} .0244867{col 55}{space 1}    1.83{col 64}{space 3}0.068{col 72}{space 4}-.0032624{col 85}{space 3} .0927386
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0463052{col 44}{space 2} .0241643{col 55}{space 1}    1.92{col 64}{space 3}0.055{col 72}{space 4}-.0010632{col 85}{space 3} .0936736
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .0568343{col 44}{space 2} .0243538{col 55}{space 1}    2.33{col 64}{space 3}0.020{col 72}{space 4} .0090944{col 85}{space 3} .1045742
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .1078555{col 44}{space 2} .0244109{col 55}{space 1}    4.42{col 64}{space 3}0.000{col 72}{space 4} .0600036{col 85}{space 3} .1557075
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0932276{col 44}{space 2} .0246191{col 55}{space 1}    3.79{col 64}{space 3}0.000{col 72}{space 4} .0449677{col 85}{space 3} .1414876
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .0723656{col 44}{space 2} .0248619{col 55}{space 1}    2.91{col 64}{space 3}0.004{col 72}{space 4} .0236296{col 85}{space 3} .1211015
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1061499{col 44}{space 2} .0110194{col 55}{space 1}   -9.63{col 64}{space 3}0.000{col 72}{space 4}-.1277509{col 85}{space 3}-.0845489
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0635974{col 44}{space 2} .0140117{col 55}{space 1}   -4.54{col 64}{space 3}0.000{col 72}{space 4} -.091064{col 85}{space 3}-.0361308
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0340773{col 44}{space 2} .0138132{col 55}{space 1}    2.47{col 64}{space 3}0.014{col 72}{space 4} .0069998{col 85}{space 3} .0611548
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0085986{col 44}{space 2} .0135292{col 55}{space 1}    0.64{col 64}{space 3}0.525{col 72}{space 4}-.0179222{col 85}{space 3} .0351194
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2} -.076529{col 44}{space 2} .0134654{col 55}{space 1}   -5.68{col 64}{space 3}0.000{col 72}{space 4}-.1029247{col 85}{space 3}-.0501332
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0834485{col 44}{space 2} .0134367{col 55}{space 1}   -6.21{col 64}{space 3}0.000{col 72}{space 4} -.109788{col 85}{space 3} -.057109
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0211871{col 44}{space 2} .0136357{col 55}{space 1}   -1.55{col 64}{space 3}0.120{col 72}{space 4}-.0479167{col 85}{space 3} .0055426
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1348467{col 44}{space 2} .0124748{col 55}{space 1}   10.81{col 64}{space 3}0.000{col 72}{space 4} .1103927{col 85}{space 3} .1593008
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5238374{col 44}{space 2} .0239935{col 55}{space 1}   21.83{col 64}{space 3}0.000{col 72}{space 4} .4768037{col 85}{space 3} .5708712
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto L

. 
. ftest K L
{txt}Assumption: {res}L{txt} nested in {res}K

{txt}F( 10,    7819) = {res}     7.49
{col 8}{txt}prob > F = {res}   0.0000

{com}. 
. ***Figure 4: AMCEs, full sample 

. *Collapsing to same-race monoracial, same-race multiracial, outsider monoracial, outsider multiracial

. gen same_race=0

. replace same_race=1 if white==1 & race==1 
{txt}(386 real changes made)

{com}. replace same_race=1 if white==1 & race==5
{txt}(376 real changes made)

{com}. replace same_race=1 if white==1 & race==9 
{txt}(358 real changes made)

{com}. replace same_race=1 if white==1 & race==10 
{txt}(368 real changes made)

{com}. tab race same_race if white==1

                   {txt}{c |}       same_race
              race {c |}         0          1 {c |}     Total
{hline 19}{c +}{hline 22}{c +}{hline 10}
             White {c |}{res}         0        386 {txt}{c |}{res}       386 
{txt}             Black {c |}{res}       402          0 {txt}{c |}{res}       402 
{txt}             Asian {c |}{res}       385          0 {txt}{c |}{res}       385 
{txt}          Hispanic {c |}{res}       366          0 {txt}{c |}{res}       366 
{txt}   Black and White {c |}{res}         0        376 {txt}{c |}{res}       376 
{txt}   Black and Asian {c |}{res}       402          0 {txt}{c |}{res}       402 
{txt}Black and Hispanic {c |}{res}       371          0 {txt}{c |}{res}       371 
{txt}Asian and Hispanic {c |}{res}       386          0 {txt}{c |}{res}       386 
{txt}   Asian and White {c |}{res}         0        358 {txt}{c |}{res}       358 
{txt}Hispanic and White {c |}{res}         0        368 {txt}{c |}{res}       368 
{txt}{hline 19}{c +}{hline 22}{c +}{hline 10}
             Total {c |}{res}     2,312      1,488 {txt}{c |}{res}     3,800 

{com}. 
. replace same_race=1 if black==1 & race==2
{txt}(429 real changes made)

{com}. replace same_race=1 if black==1 & race==5
{txt}(453 real changes made)

{com}. replace same_race=1 if black==1 & race==6
{txt}(384 real changes made)

{com}. replace same_race=1 if black==1 & race==7
{txt}(396 real changes made)

{com}. tab race same_race if black==1

                   {txt}{c |}       same_race
              race {c |}         0          1 {c |}     Total
{hline 19}{c +}{hline 22}{c +}{hline 10}
             White {c |}{res}       401          0 {txt}{c |}{res}       401 
{txt}             Black {c |}{res}         0        429 {txt}{c |}{res}       429 
{txt}             Asian {c |}{res}       398          0 {txt}{c |}{res}       398 
{txt}          Hispanic {c |}{res}       443          0 {txt}{c |}{res}       443 
{txt}   Black and White {c |}{res}         0        453 {txt}{c |}{res}       453 
{txt}   Black and Asian {c |}{res}         0        384 {txt}{c |}{res}       384 
{txt}Black and Hispanic {c |}{res}         0        396 {txt}{c |}{res}       396 
{txt}Asian and Hispanic {c |}{res}       368          0 {txt}{c |}{res}       368 
{txt}   Asian and White {c |}{res}       413          0 {txt}{c |}{res}       413 
{txt}Hispanic and White {c |}{res}       375          0 {txt}{c |}{res}       375 
{txt}{hline 19}{c +}{hline 22}{c +}{hline 10}
             Total {c |}{res}     2,398      1,662 {txt}{c |}{res}     4,060 

{com}. 
. replace same_race=1 if asian==1 & race==3
{txt}(390 real changes made)

{com}. replace same_race=1 if asian==1 & race==6
{txt}(437 real changes made)

{com}. replace same_race=1 if asian==1 & race==8
{txt}(415 real changes made)

{com}. replace same_race=1 if asian==1 & race==9
{txt}(407 real changes made)

{com}. tab race same_race if asian==1

                   {txt}{c |}       same_race
              race {c |}         0          1 {c |}     Total
{hline 19}{c +}{hline 22}{c +}{hline 10}
             White {c |}{res}       423          0 {txt}{c |}{res}       423 
{txt}             Black {c |}{res}       425          0 {txt}{c |}{res}       425 
{txt}             Asian {c |}{res}         0        390 {txt}{c |}{res}       390 
{txt}          Hispanic {c |}{res}       444          0 {txt}{c |}{res}       444 
{txt}   Black and White {c |}{res}       422          0 {txt}{c |}{res}       422 
{txt}   Black and Asian {c |}{res}         0        437 {txt}{c |}{res}       437 
{txt}Black and Hispanic {c |}{res}       411          0 {txt}{c |}{res}       411 
{txt}Asian and Hispanic {c |}{res}         0        415 {txt}{c |}{res}       415 
{txt}   Asian and White {c |}{res}         0        407 {txt}{c |}{res}       407 
{txt}Hispanic and White {c |}{res}       366          0 {txt}{c |}{res}       366 
{txt}{hline 19}{c +}{hline 22}{c +}{hline 10}
             Total {c |}{res}     2,491      1,649 {txt}{c |}{res}     4,140 

{com}. 
. replace same_race=1 if hispanic==1 & race==4
{txt}(363 real changes made)

{com}. replace same_race=1 if hispanic==1 & race==7
{txt}(384 real changes made)

{com}. replace same_race=1 if hispanic==1 & race==8
{txt}(374 real changes made)

{com}. replace same_race=1 if hispanic==1 & race==10
{txt}(367 real changes made)

{com}. tab race same_race if hispanic==1

                   {txt}{c |}       same_race
              race {c |}         0          1 {c |}     Total
{hline 19}{c +}{hline 22}{c +}{hline 10}
             White {c |}{res}       388          0 {txt}{c |}{res}       388 
{txt}             Black {c |}{res}       364          0 {txt}{c |}{res}       364 
{txt}             Asian {c |}{res}       387          0 {txt}{c |}{res}       387 
{txt}          Hispanic {c |}{res}         0        363 {txt}{c |}{res}       363 
{txt}   Black and White {c |}{res}       355          0 {txt}{c |}{res}       355 
{txt}   Black and Asian {c |}{res}       382          0 {txt}{c |}{res}       382 
{txt}Black and Hispanic {c |}{res}         0        384 {txt}{c |}{res}       384 
{txt}Asian and Hispanic {c |}{res}         0        374 {txt}{c |}{res}       374 
{txt}   Asian and White {c |}{res}       356          0 {txt}{c |}{res}       356 
{txt}Hispanic and White {c |}{res}         0        367 {txt}{c |}{res}       367 
{txt}{hline 19}{c +}{hline 22}{c +}{hline 10}
             Total {c |}{res}     2,232      1,488 {txt}{c |}{res}     3,720 

{com}. 
. label variable same_race "Same Race R"

. label define same_race 0 "Not R's Race" 1 "R's Race"

. label values same_race same_race

. 
. *Generating Same-Race Multiracial/Monoracial

. gen multiracial=0 if race==1
{txt}(14,122 missing values generated)

{com}. replace multiracial=0 if race==2
{txt}(1,620 real changes made)

{com}. replace multiracial=0 if race==3
{txt}(1,560 real changes made)

{com}. replace multiracial=0 if race==4
{txt}(1,616 real changes made)

{com}. 
. replace multiracial=1 if race==5
{txt}(1,606 real changes made)

{com}. replace multiracial=1 if race==6
{txt}(1,605 real changes made)

{com}. replace multiracial=1 if race==7
{txt}(1,562 real changes made)

{com}. replace multiracial=1 if race==8
{txt}(1,543 real changes made)

{com}. replace multiracial=1 if race==9
{txt}(1,534 real changes made)

{com}. replace multiracial=1 if race==10
{txt}(1,476 real changes made)

{com}. 
. label define multiracial 0 "Monoracial" 1 "Multiracial"

. label values multiracial multiracial 

. 
. gen samerace_multi=4 if multiracial==0 & same_race==0
{txt}(10,894 missing values generated)

{com}. replace samerace_multi=1 if multiracial==0 & same_race==1
{txt}(1,568 real changes made)

{com}. replace samerace_multi=2 if multiracial==1 & same_race==1
{txt}(4,719 real changes made)

{com}. replace samerace_multi=3 if multiracial==1 & same_race==0
{txt}(4,607 real changes made)

{com}. tab samerace_multi 

{txt}samerace_mu {c |}
        lti {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,568        9.97        9.97
{txt}          2 {c |}{res}      4,719       30.02       39.99
{txt}          3 {c |}{res}      4,607       29.31       69.30
{txt}          4 {c |}{res}      4,826       30.70      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,720      100.00

{com}. 
. label variable samerace_multi "Same Race Candidate"

. label define samerace_multi 1 "Same-Race Monoracial" 2 "Same-Race Multiracial" 3 "Outsider Multiracial" 4 "Outsider Monoracial" 

. label values samerace_multi samerace_multi

. 
. tab samerace_multi race if white==1

                      {txt}{c |}                          race
  Same Race Candidate {c |}     White      Black      Asian   Hispanic  Black and {c |}     Total
{hline 22}{c +}{hline 55}{c +}{hline 10}
 Same-Race Monoracial {c |}{res}       386          0          0          0          0 {txt}{c |}{res}       386 
{txt}Same-Race Multiracial {c |}{res}         0          0          0          0        376 {txt}{c |}{res}     1,102 
{txt} Outsider Multiracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,159 
{txt}  Outsider Monoracial {c |}{res}         0        402        385        366          0 {txt}{c |}{res}     1,153 
{txt}{hline 22}{c +}{hline 55}{c +}{hline 10}
                Total {c |}{res}       386        402        385        366        376 {txt}{c |}{res}     3,800 


                      {txt}{c |}                          race
  Same Race Candidate {c |} Black and  Black and  Asian and  Asian and  Hispanic  {c |}     Total
{hline 22}{c +}{hline 55}{c +}{hline 10}
 Same-Race Monoracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}       386 
{txt}Same-Race Multiracial {c |}{res}         0          0          0        358        368 {txt}{c |}{res}     1,102 
{txt} Outsider Multiracial {c |}{res}       402        371        386          0          0 {txt}{c |}{res}     1,159 
{txt}  Outsider Monoracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,153 
{txt}{hline 22}{c +}{hline 55}{c +}{hline 10}
                Total {c |}{res}       402        371        386        358        368 {txt}{c |}{res}     3,800 

{com}. tab samerace_multi race if black==1

                      {txt}{c |}                          race
  Same Race Candidate {c |}     White      Black      Asian   Hispanic  Black and {c |}     Total
{hline 22}{c +}{hline 55}{c +}{hline 10}
 Same-Race Monoracial {c |}{res}         0        429          0          0          0 {txt}{c |}{res}       429 
{txt}Same-Race Multiracial {c |}{res}         0          0          0          0        453 {txt}{c |}{res}     1,233 
{txt} Outsider Multiracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,156 
{txt}  Outsider Monoracial {c |}{res}       401          0        398        443          0 {txt}{c |}{res}     1,242 
{txt}{hline 22}{c +}{hline 55}{c +}{hline 10}
                Total {c |}{res}       401        429        398        443        453 {txt}{c |}{res}     4,060 


                      {txt}{c |}                          race
  Same Race Candidate {c |} Black and  Black and  Asian and  Asian and  Hispanic  {c |}     Total
{hline 22}{c +}{hline 55}{c +}{hline 10}
 Same-Race Monoracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}       429 
{txt}Same-Race Multiracial {c |}{res}       384        396          0          0          0 {txt}{c |}{res}     1,233 
{txt} Outsider Multiracial {c |}{res}         0          0        368        413        375 {txt}{c |}{res}     1,156 
{txt}  Outsider Monoracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,242 
{txt}{hline 22}{c +}{hline 55}{c +}{hline 10}
                Total {c |}{res}       384        396        368        413        375 {txt}{c |}{res}     4,060 

{com}. tab samerace_multi race if asian==1

                      {txt}{c |}                          race
  Same Race Candidate {c |}     White      Black      Asian   Hispanic  Black and {c |}     Total
{hline 22}{c +}{hline 55}{c +}{hline 10}
 Same-Race Monoracial {c |}{res}         0          0        390          0          0 {txt}{c |}{res}       390 
{txt}Same-Race Multiracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,259 
{txt} Outsider Multiracial {c |}{res}         0          0          0          0        422 {txt}{c |}{res}     1,199 
{txt}  Outsider Monoracial {c |}{res}       423        425          0        444          0 {txt}{c |}{res}     1,292 
{txt}{hline 22}{c +}{hline 55}{c +}{hline 10}
                Total {c |}{res}       423        425        390        444        422 {txt}{c |}{res}     4,140 


                      {txt}{c |}                          race
  Same Race Candidate {c |} Black and  Black and  Asian and  Asian and  Hispanic  {c |}     Total
{hline 22}{c +}{hline 55}{c +}{hline 10}
 Same-Race Monoracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}       390 
{txt}Same-Race Multiracial {c |}{res}       437          0        415        407          0 {txt}{c |}{res}     1,259 
{txt} Outsider Multiracial {c |}{res}         0        411          0          0        366 {txt}{c |}{res}     1,199 
{txt}  Outsider Monoracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,292 
{txt}{hline 22}{c +}{hline 55}{c +}{hline 10}
                Total {c |}{res}       437        411        415        407        366 {txt}{c |}{res}     4,140 

{com}. tab samerace_multi race if hispanic==1

                      {txt}{c |}                          race
  Same Race Candidate {c |}     White      Black      Asian   Hispanic  Black and {c |}     Total
{hline 22}{c +}{hline 55}{c +}{hline 10}
 Same-Race Monoracial {c |}{res}         0          0          0        363          0 {txt}{c |}{res}       363 
{txt}Same-Race Multiracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,125 
{txt} Outsider Multiracial {c |}{res}         0          0          0          0        355 {txt}{c |}{res}     1,093 
{txt}  Outsider Monoracial {c |}{res}       388        364        387          0          0 {txt}{c |}{res}     1,139 
{txt}{hline 22}{c +}{hline 55}{c +}{hline 10}
                Total {c |}{res}       388        364        387        363        355 {txt}{c |}{res}     3,720 


                      {txt}{c |}                          race
  Same Race Candidate {c |} Black and  Black and  Asian and  Asian and  Hispanic  {c |}     Total
{hline 22}{c +}{hline 55}{c +}{hline 10}
 Same-Race Monoracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}       363 
{txt}Same-Race Multiracial {c |}{res}         0        384        374          0        367 {txt}{c |}{res}     1,125 
{txt} Outsider Multiracial {c |}{res}       382          0          0        356          0 {txt}{c |}{res}     1,093 
{txt}  Outsider Monoracial {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,139 
{txt}{hline 22}{c +}{hline 55}{c +}{hline 10}
                Total {c |}{res}       382        384        374        356        367 {txt}{c |}{res}     3,720 

{com}. 
. reg selected i.gender b1.samerace_multi i.nativity i.party i.ideology i.experience i.same_party, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}    15,708
                                                {txt}F(12, 785)        =  {res}    76.72
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0641
                                                {txt}Root MSE          =    {res} .48391

{txt}{ralign 96:(Std. Err. adjusted for {res:786} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0221961{col 44}{space 2} .0083973{col 55}{space 1}    2.64{col 64}{space 3}0.008{col 72}{space 4} .0057123{col 85}{space 3}   .03868
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2}-.0393603{col 44}{space 2} .0145243{col 55}{space 1}   -2.71{col 64}{space 3}0.007{col 72}{space 4}-.0678713{col 85}{space 3}-.0108492
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2}-.1165964{col 44}{space 2} .0152222{col 55}{space 1}   -7.66{col 64}{space 3}0.000{col 72}{space 4}-.1464775{col 85}{space 3}-.0867153
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}-.1482092{col 44}{space 2}  .014825{col 55}{space 1}  -10.00{col 64}{space 3}0.000{col 72}{space 4}-.1773107{col 85}{space 3}-.1191078
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1198548{col 44}{space 2} .0095368{col 55}{space 1}  -12.57{col 64}{space 3}0.000{col 72}{space 4}-.1385756{col 85}{space 3}-.1011341
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0762537{col 44}{space 2} .0126404{col 55}{space 1}   -6.03{col 64}{space 3}0.000{col 72}{space 4}-.1010667{col 85}{space 3}-.0514406
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0350845{col 44}{space 2} .0113604{col 55}{space 1}    3.09{col 64}{space 3}0.002{col 72}{space 4} .0127842{col 85}{space 3} .0573848
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0063153{col 44}{space 2} .0109375{col 55}{space 1}    0.58{col 64}{space 3}0.564{col 72}{space 4}-.0151549{col 85}{space 3} .0277854
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0763016{col 44}{space 2} .0129257{col 55}{space 1}   -5.90{col 64}{space 3}0.000{col 72}{space 4}-.1016746{col 85}{space 3}-.0509287
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0713312{col 44}{space 2} .0105183{col 55}{space 1}   -6.78{col 64}{space 3}0.000{col 72}{space 4}-.0919784{col 85}{space 3} -.050684
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0224084{col 44}{space 2} .0096243{col 55}{space 1}   -2.33{col 64}{space 3}0.020{col 72}{space 4}-.0413007{col 85}{space 3}-.0035161
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1429705{col 44}{space 2} .0105666{col 55}{space 1}   13.53{col 64}{space 3}0.000{col 72}{space 4} .1222284{col 85}{space 3} .1637127
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .6647014{col 44}{space 2} .0197151{col 55}{space 1}   33.72{col 64}{space 3}0.000{col 72}{space 4} .6260008{col 85}{space 3}  .703402
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto bin_all_h1

. coefplot bin_all_h1, baselevels drop(_cons) format (%12.2f) keep(1.samerace_multi 2.samerace_multi 3.samerace_multi 4.samerace_multi ) vertical
{res}
{com}. 
. reg selected i.gender b4.samerace_multi i.nativity i.party i.ideology i.experience i.same_party, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}    15,708
                                                {txt}F(12, 785)        =  {res}    76.72
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0641
                                                {txt}Root MSE          =    {res} .48391

{txt}{ralign 96:(Std. Err. adjusted for {res:786} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0221961{col 44}{space 2} .0083973{col 55}{space 1}    2.64{col 64}{space 3}0.008{col 72}{space 4} .0057123{col 85}{space 3}   .03868
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2} .1482092{col 44}{space 2}  .014825{col 55}{space 1}   10.00{col 64}{space 3}0.000{col 72}{space 4} .1191078{col 85}{space 3} .1773107
{txt}{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2}  .108849{col 44}{space 2} .0100168{col 55}{space 1}   10.87{col 64}{space 3}0.000{col 72}{space 4} .0891861{col 85}{space 3} .1285119
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2} .0316128{col 44}{space 2} .0098835{col 55}{space 1}    3.20{col 64}{space 3}0.001{col 72}{space 4} .0122116{col 85}{space 3} .0510141
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1198548{col 44}{space 2} .0095368{col 55}{space 1}  -12.57{col 64}{space 3}0.000{col 72}{space 4}-.1385756{col 85}{space 3}-.1011341
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0762537{col 44}{space 2} .0126404{col 55}{space 1}   -6.03{col 64}{space 3}0.000{col 72}{space 4}-.1010667{col 85}{space 3}-.0514406
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0350845{col 44}{space 2} .0113604{col 55}{space 1}    3.09{col 64}{space 3}0.002{col 72}{space 4} .0127842{col 85}{space 3} .0573848
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0063153{col 44}{space 2} .0109375{col 55}{space 1}    0.58{col 64}{space 3}0.564{col 72}{space 4}-.0151549{col 85}{space 3} .0277854
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0763016{col 44}{space 2} .0129257{col 55}{space 1}   -5.90{col 64}{space 3}0.000{col 72}{space 4}-.1016746{col 85}{space 3}-.0509287
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0713312{col 44}{space 2} .0105183{col 55}{space 1}   -6.78{col 64}{space 3}0.000{col 72}{space 4}-.0919784{col 85}{space 3} -.050684
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0224084{col 44}{space 2} .0096243{col 55}{space 1}   -2.33{col 64}{space 3}0.020{col 72}{space 4}-.0413007{col 85}{space 3}-.0035161
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1429705{col 44}{space 2} .0105666{col 55}{space 1}   13.53{col 64}{space 3}0.000{col 72}{space 4} .1222284{col 85}{space 3} .1637127
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5164922{col 44}{space 2} .0166968{col 55}{space 1}   30.93{col 64}{space 3}0.000{col 72}{space 4} .4837165{col 85}{space 3} .5492678
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto bin_all_h2

. coefplot bin_all_h2, baselevels drop(_cons) format (%12.2f) keep(1.samerace_multi 2.samerace_multi 3.samerace_multi 4.samerace_multi ) vertical
{res}
{com}. 
. 
. *graph combine figure4_binh1.gph figure4_binh2.gph, col(1)

. 
. *esttab bin_all_h1 bin_all_h2 using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 4") mtitle("H1" "H2") append

. 
. ***Figure 4 interaction

. reg selected i.gender i.multiracial##i.same_race i.nativity i.party i.ideology i.experience i.same_party, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}    15,708
                                                {txt}F(12, 785)        =  {res}    76.72
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0641
                                                {txt}Root MSE          =    {res} .48391

{txt}{ralign 96:(Std. Err. adjusted for {res:786} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0221961{col 44}{space 2} .0083973{col 55}{space 1}    2.64{col 64}{space 3}0.008{col 72}{space 4} .0057123{col 85}{space 3}   .03868
{txt}{space 30} {c |}
{space 19}multiracial {c |}
{space 19}Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 18}Multiracial  {c |}{col 32}{res}{space 2} .0316128{col 44}{space 2} .0098835{col 55}{space 1}    3.20{col 64}{space 3}0.001{col 72}{space 4} .0122116{col 85}{space 3} .0510141
{txt}{space 30} {c |}
{space 21}same_race {c |}
{space 17}Not R's Race  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}R's Race  {c |}{col 32}{res}{space 2} .1482092{col 44}{space 2}  .014825{col 55}{space 1}   10.00{col 64}{space 3}0.000{col 72}{space 4} .1191078{col 85}{space 3} .1773107
{txt}{space 30} {c |}
{space 9}multiracial#same_race {c |}
{space 6}Monoracial#Not R's Race  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 10}Monoracial#R's Race  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 5}Multiracial#Not R's Race  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Multiracial#R's Race  {c |}{col 32}{res}{space 2}-.0709731{col 44}{space 2} .0176523{col 55}{space 1}   -4.02{col 64}{space 3}0.000{col 72}{space 4}-.1056244{col 85}{space 3}-.0363219
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1198548{col 44}{space 2} .0095368{col 55}{space 1}  -12.57{col 64}{space 3}0.000{col 72}{space 4}-.1385756{col 85}{space 3}-.1011341
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0762537{col 44}{space 2} .0126404{col 55}{space 1}   -6.03{col 64}{space 3}0.000{col 72}{space 4}-.1010667{col 85}{space 3}-.0514406
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0350845{col 44}{space 2} .0113604{col 55}{space 1}    3.09{col 64}{space 3}0.002{col 72}{space 4} .0127842{col 85}{space 3} .0573848
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0063153{col 44}{space 2} .0109375{col 55}{space 1}    0.58{col 64}{space 3}0.564{col 72}{space 4}-.0151549{col 85}{space 3} .0277854
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0763016{col 44}{space 2} .0129257{col 55}{space 1}   -5.90{col 64}{space 3}0.000{col 72}{space 4}-.1016746{col 85}{space 3}-.0509287
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0713312{col 44}{space 2} .0105183{col 55}{space 1}   -6.78{col 64}{space 3}0.000{col 72}{space 4}-.0919784{col 85}{space 3} -.050684
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0224084{col 44}{space 2} .0096243{col 55}{space 1}   -2.33{col 64}{space 3}0.020{col 72}{space 4}-.0413007{col 85}{space 3}-.0035161
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1429705{col 44}{space 2} .0105666{col 55}{space 1}   13.53{col 64}{space 3}0.000{col 72}{space 4} .1222284{col 85}{space 3} .1637127
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5164922{col 44}{space 2} .0166968{col 55}{space 1}   30.93{col 64}{space 3}0.000{col 72}{space 4} .4837165{col 85}{space 3} .5492678
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto multiracial_pooled

. 
. *esttab multiracial_pooled using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 4 as an interaction") append

. 
. 
. 
. 
. ***Figure 5: AMCES by racial group

. *H1

. reg selected i.gender b1.samerace_multi i.nativity i.party i.ideology i.experience i.same_party if white==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     3,800
                                                {txt}F(12, 189)        =  {res}    17.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0615
                                                {txt}Root MSE          =    {res} .48521

{txt}{ralign 96:(Std. Err. adjusted for {res:190} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0498682{col 44}{space 2} .0180318{col 55}{space 1}    2.77{col 64}{space 3}0.006{col 72}{space 4} .0142987{col 85}{space 3} .0854376
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2}-.0481643{col 44}{space 2} .0301221{col 55}{space 1}   -1.60{col 64}{space 3}0.111{col 72}{space 4}-.1075831{col 85}{space 3} .0112544
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2}-.0866885{col 44}{space 2} .0328765{col 55}{space 1}   -2.64{col 64}{space 3}0.009{col 72}{space 4}-.1515405{col 85}{space 3}-.0218366
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}-.0926432{col 44}{space 2} .0294362{col 55}{space 1}   -3.15{col 64}{space 3}0.002{col 72}{space 4}-.1507089{col 85}{space 3}-.0345774
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1619004{col 44}{space 2} .0197659{col 55}{space 1}   -8.19{col 64}{space 3}0.000{col 72}{space 4}-.2008906{col 85}{space 3}-.1229103
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2} -.033414{col 44}{space 2} .0240836{col 55}{space 1}   -1.39{col 64}{space 3}0.167{col 72}{space 4}-.0809211{col 85}{space 3} .0140931
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0504258{col 44}{space 2} .0219257{col 55}{space 1}    2.30{col 64}{space 3}0.023{col 72}{space 4} .0071752{col 85}{space 3} .0936764
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0090979{col 44}{space 2} .0228974{col 55}{space 1}    0.40{col 64}{space 3}0.692{col 72}{space 4}-.0360694{col 85}{space 3} .0542652
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0487263{col 44}{space 2} .0273623{col 55}{space 1}   -1.78{col 64}{space 3}0.077{col 72}{space 4} -.102701{col 85}{space 3} .0052484
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0644865{col 44}{space 2} .0210467{col 55}{space 1}   -3.06{col 64}{space 3}0.003{col 72}{space 4}-.1060032{col 85}{space 3}-.0229699
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0028875{col 44}{space 2} .0201633{col 55}{space 1}   -0.14{col 64}{space 3}0.886{col 72}{space 4}-.0426615{col 85}{space 3} .0368865
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1488399{col 44}{space 2} .0206062{col 55}{space 1}    7.22{col 64}{space 3}0.000{col 72}{space 4} .1081922{col 85}{space 3} .1894877
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .6040134{col 44}{space 2}  .038911{col 55}{space 1}   15.52{col 64}{space 3}0.000{col 72}{space 4} .5272578{col 85}{space 3} .6807691
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto bin_h1white

. 
. reg selected i.gender b1.samerace_multi i.nativity i.party i.ideology i.experience i.same_party if black==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     4,060
                                                {txt}F(12, 202)        =  {res}    32.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0892
                                                {txt}Root MSE          =    {res} .47795

{txt}{ralign 96:(Std. Err. adjusted for {res:203} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0153212{col 44}{space 2} .0158587{col 55}{space 1}    0.97{col 64}{space 3}0.335{col 72}{space 4}-.0159487{col 85}{space 3}  .046591
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2}-.0239301{col 44}{space 2} .0268323{col 55}{space 1}   -0.89{col 64}{space 3}0.374{col 72}{space 4}-.0768374{col 85}{space 3} .0289773
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2}-.1325792{col 44}{space 2} .0252085{col 55}{space 1}   -5.26{col 64}{space 3}0.000{col 72}{space 4}-.1822848{col 85}{space 3}-.0828736
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}-.1629793{col 44}{space 2} .0288358{col 55}{space 1}   -5.65{col 64}{space 3}0.000{col 72}{space 4}-.2198372{col 85}{space 3}-.1061215
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1124613{col 44}{space 2} .0174508{col 55}{space 1}   -6.44{col 64}{space 3}0.000{col 72}{space 4}-.1468703{col 85}{space 3}-.0780523
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.1586784{col 44}{space 2}  .029098{col 55}{space 1}   -5.45{col 64}{space 3}0.000{col 72}{space 4}-.2160531{col 85}{space 3}-.1013037
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0052978{col 44}{space 2} .0233575{col 55}{space 1}    0.23{col 64}{space 3}0.821{col 72}{space 4}-.0407579{col 85}{space 3} .0513535
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0018608{col 44}{space 2} .0198419{col 55}{space 1}   -0.09{col 64}{space 3}0.925{col 72}{space 4}-.0409847{col 85}{space 3}  .037263
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.1007665{col 44}{space 2} .0226692{col 55}{space 1}   -4.45{col 64}{space 3}0.000{col 72}{space 4}-.1454651{col 85}{space 3}-.0560679
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2} -.053387{col 44}{space 2} .0201951{col 55}{space 1}   -2.64{col 64}{space 3}0.009{col 72}{space 4}-.0932073{col 85}{space 3}-.0135668
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0414763{col 44}{space 2} .0175498{col 55}{space 1}   -2.36{col 64}{space 3}0.019{col 72}{space 4}-.0760805{col 85}{space 3} -.006872
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1192872{col 44}{space 2} .0240905{col 55}{space 1}    4.95{col 64}{space 3}0.000{col 72}{space 4}  .071786{col 85}{space 3} .1667883
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .7216845{col 44}{space 2} .0384776{col 55}{space 1}   18.76{col 64}{space 3}0.000{col 72}{space 4} .6458152{col 85}{space 3} .7975537
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto bin_h1black

. 
. reg selected i.gender b1.samerace_multi i.nativity i.party i.ideology i.experience i.same_party if asian==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     4,140
                                                {txt}F(12, 206)        =  {res}    21.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0617
                                                {txt}Root MSE          =    {res} .48509

{txt}{ralign 96:(Std. Err. adjusted for {res:207} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2}-.0001902{col 44}{space 2} .0167681{col 55}{space 1}   -0.01{col 64}{space 3}0.991{col 72}{space 4}-.0332492{col 85}{space 3} .0328689
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2}-.0345181{col 44}{space 2} .0295922{col 55}{space 1}   -1.17{col 64}{space 3}0.245{col 72}{space 4}-.0928606{col 85}{space 3} .0238244
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2}-.1239043{col 44}{space 2} .0329192{col 55}{space 1}   -3.76{col 64}{space 3}0.000{col 72}{space 4}-.1888061{col 85}{space 3}-.0590026
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}-.1595949{col 44}{space 2} .0309851{col 55}{space 1}   -5.15{col 64}{space 3}0.000{col 72}{space 4}-.2206835{col 85}{space 3}-.0985063
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.0862764{col 44}{space 2} .0176169{col 55}{space 1}   -4.90{col 64}{space 3}0.000{col 72}{space 4}-.1210089{col 85}{space 3}-.0515439
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0516585{col 44}{space 2} .0239167{col 55}{space 1}   -2.16{col 64}{space 3}0.032{col 72}{space 4}-.0988114{col 85}{space 3}-.0045056
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0191825{col 44}{space 2} .0221098{col 55}{space 1}    0.87{col 64}{space 3}0.387{col 72}{space 4} -.024408{col 85}{space 3}  .062773
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0314222{col 44}{space 2}  .022775{col 55}{space 1}    1.38{col 64}{space 3}0.169{col 72}{space 4}-.0134797{col 85}{space 3} .0763242
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0826859{col 44}{space 2} .0282688{col 55}{space 1}   -2.92{col 64}{space 3}0.004{col 72}{space 4}-.1384192{col 85}{space 3}-.0269526
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0911068{col 44}{space 2} .0214835{col 55}{space 1}   -4.24{col 64}{space 3}0.000{col 72}{space 4}-.1334626{col 85}{space 3} -.048751
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0290361{col 44}{space 2} .0198714{col 55}{space 1}   -1.46{col 64}{space 3}0.145{col 72}{space 4}-.0682135{col 85}{space 3} .0101413
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1549135{col 44}{space 2} .0189689{col 55}{space 1}    8.17{col 64}{space 3}0.000{col 72}{space 4} .1175155{col 85}{space 3} .1923115
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .6617516{col 44}{space 2} .0404332{col 55}{space 1}   16.37{col 64}{space 3}0.000{col 72}{space 4} .5820356{col 85}{space 3} .7414676
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto bin_h1asian

. 
. reg selected i.gender b1.samerace_multi i.nativity i.party i.ideology i.experience i.same_party if hispanic==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     3,708
                                                {txt}F(12, 185)        =  {res}    16.85
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0628
                                                {txt}Root MSE          =    {res}  .4849

{txt}{ralign 96:(Std. Err. adjusted for {res:186} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0265241{col 44}{space 2} .0165595{col 55}{space 1}    1.60{col 64}{space 3}0.111{col 72}{space 4}-.0061455{col 85}{space 3} .0591938
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2}-.0525349{col 44}{space 2} .0303208{col 55}{space 1}   -1.73{col 64}{space 3}0.085{col 72}{space 4}-.1123539{col 85}{space 3}  .007284
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2} -.122642{col 44}{space 2} .0313771{col 55}{space 1}   -3.91{col 64}{space 3}0.000{col 72}{space 4}-.1845449{col 85}{space 3}-.0607392
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}-.1743337{col 44}{space 2} .0291196{col 55}{space 1}   -5.99{col 64}{space 3}0.000{col 72}{space 4}-.2317828{col 85}{space 3}-.1168845
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1266444{col 44}{space 2} .0211725{col 55}{space 1}   -5.98{col 64}{space 3}0.000{col 72}{space 4} -.168415{col 85}{space 3}-.0848737
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0785023{col 44}{space 2} .0257764{col 55}{space 1}   -3.05{col 64}{space 3}0.003{col 72}{space 4}-.1293558{col 85}{space 3}-.0276489
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0533154{col 44}{space 2}  .024239{col 55}{space 1}    2.20{col 64}{space 3}0.029{col 72}{space 4} .0054949{col 85}{space 3} .1011358
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0163863{col 44}{space 2} .0223011{col 55}{space 1}   -0.73{col 64}{space 3}0.463{col 72}{space 4}-.0603833{col 85}{space 3} .0276108
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0714659{col 44}{space 2} .0247589{col 55}{space 1}   -2.89{col 64}{space 3}0.004{col 72}{space 4}-.1203121{col 85}{space 3}-.0226198
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0753098{col 44}{space 2}   .02083{col 55}{space 1}   -3.62{col 64}{space 3}0.000{col 72}{space 4}-.1164047{col 85}{space 3}-.0342149
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0145145{col 44}{space 2} .0193284{col 55}{space 1}   -0.75{col 64}{space 3}0.454{col 72}{space 4}-.0526468{col 85}{space 3} .0236179
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1101608{col 44}{space 2} .0216089{col 55}{space 1}    5.10{col 64}{space 3}0.000{col 72}{space 4} .0675292{col 85}{space 3} .1527925
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .6934778{col 44}{space 2} .0408392{col 55}{space 1}   16.98{col 64}{space 3}0.000{col 72}{space 4} .6129074{col 85}{space 3} .7740481
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto bin_h1hispanic

. 
. coefplot bin_h1white bin_h1black bin_h1asian bin_h1hispanic, baselevels drop(_cons) format (%12.2f) keep(1.samerace_multi 2.samerace_multi 3.samerace_multi 4.samerace_multi) 
{res}
{com}. 
. *esttab bin_h1white bin_h1black bin_h1asian bin_h1hispanic using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 5") mtitle("H1 White Rs" "H1 Black Rs" "H1 Asian Rs" "H1 Hispanic Rs") append

. 
. reg selected i.gender b4.samerace_multi i.nativity i.party i.ideology i.experience i.same_party if white==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     3,800
                                                {txt}F(12, 189)        =  {res}    17.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0615
                                                {txt}Root MSE          =    {res} .48521

{txt}{ralign 96:(Std. Err. adjusted for {res:190} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0498682{col 44}{space 2} .0180318{col 55}{space 1}    2.77{col 64}{space 3}0.006{col 72}{space 4} .0142987{col 85}{space 3} .0854376
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2} .0926432{col 44}{space 2} .0294362{col 55}{space 1}    3.15{col 64}{space 3}0.002{col 72}{space 4} .0345774{col 85}{space 3} .1507089
{txt}{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2} .0444788{col 44}{space 2} .0196728{col 55}{space 1}    2.26{col 64}{space 3}0.025{col 72}{space 4} .0056724{col 85}{space 3} .0832853
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2} .0059546{col 44}{space 2} .0201049{col 55}{space 1}    0.30{col 64}{space 3}0.767{col 72}{space 4}-.0337041{col 85}{space 3} .0456134
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1619004{col 44}{space 2} .0197659{col 55}{space 1}   -8.19{col 64}{space 3}0.000{col 72}{space 4}-.2008906{col 85}{space 3}-.1229103
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2} -.033414{col 44}{space 2} .0240836{col 55}{space 1}   -1.39{col 64}{space 3}0.167{col 72}{space 4}-.0809211{col 85}{space 3} .0140931
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0504258{col 44}{space 2} .0219257{col 55}{space 1}    2.30{col 64}{space 3}0.023{col 72}{space 4} .0071752{col 85}{space 3} .0936764
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0090979{col 44}{space 2} .0228974{col 55}{space 1}    0.40{col 64}{space 3}0.692{col 72}{space 4}-.0360694{col 85}{space 3} .0542652
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0487263{col 44}{space 2} .0273623{col 55}{space 1}   -1.78{col 64}{space 3}0.077{col 72}{space 4} -.102701{col 85}{space 3} .0052484
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0644865{col 44}{space 2} .0210467{col 55}{space 1}   -3.06{col 64}{space 3}0.003{col 72}{space 4}-.1060032{col 85}{space 3}-.0229699
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0028875{col 44}{space 2} .0201633{col 55}{space 1}   -0.14{col 64}{space 3}0.886{col 72}{space 4}-.0426615{col 85}{space 3} .0368865
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1488399{col 44}{space 2} .0206062{col 55}{space 1}    7.22{col 64}{space 3}0.000{col 72}{space 4} .1081922{col 85}{space 3} .1894877
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5113703{col 44}{space 2}  .032804{col 55}{space 1}   15.59{col 64}{space 3}0.000{col 72}{space 4} .4466613{col 85}{space 3} .5760792
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto bin_h2white

. 
. reg selected i.gender b4.samerace_multi i.nativity i.party i.ideology i.experience i.same_party if black==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     4,060
                                                {txt}F(12, 202)        =  {res}    32.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0892
                                                {txt}Root MSE          =    {res} .47795

{txt}{ralign 96:(Std. Err. adjusted for {res:203} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0153212{col 44}{space 2} .0158587{col 55}{space 1}    0.97{col 64}{space 3}0.335{col 72}{space 4}-.0159487{col 85}{space 3}  .046591
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2} .1629793{col 44}{space 2} .0288358{col 55}{space 1}    5.65{col 64}{space 3}0.000{col 72}{space 4} .1061215{col 85}{space 3} .2198372
{txt}{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2} .1390492{col 44}{space 2} .0201225{col 55}{space 1}    6.91{col 64}{space 3}0.000{col 72}{space 4} .0993721{col 85}{space 3} .1787264
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2} .0304001{col 44}{space 2} .0194195{col 55}{space 1}    1.57{col 64}{space 3}0.119{col 72}{space 4}-.0078909{col 85}{space 3} .0686911
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1124613{col 44}{space 2} .0174508{col 55}{space 1}   -6.44{col 64}{space 3}0.000{col 72}{space 4}-.1468703{col 85}{space 3}-.0780523
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.1586784{col 44}{space 2}  .029098{col 55}{space 1}   -5.45{col 64}{space 3}0.000{col 72}{space 4}-.2160531{col 85}{space 3}-.1013037
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0052978{col 44}{space 2} .0233575{col 55}{space 1}    0.23{col 64}{space 3}0.821{col 72}{space 4}-.0407579{col 85}{space 3} .0513535
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0018608{col 44}{space 2} .0198419{col 55}{space 1}   -0.09{col 64}{space 3}0.925{col 72}{space 4}-.0409847{col 85}{space 3}  .037263
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.1007665{col 44}{space 2} .0226692{col 55}{space 1}   -4.45{col 64}{space 3}0.000{col 72}{space 4}-.1454651{col 85}{space 3}-.0560679
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2} -.053387{col 44}{space 2} .0201951{col 55}{space 1}   -2.64{col 64}{space 3}0.009{col 72}{space 4}-.0932073{col 85}{space 3}-.0135668
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0414763{col 44}{space 2} .0175498{col 55}{space 1}   -2.36{col 64}{space 3}0.019{col 72}{space 4}-.0760805{col 85}{space 3} -.006872
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1192872{col 44}{space 2} .0240905{col 55}{space 1}    4.95{col 64}{space 3}0.000{col 72}{space 4}  .071786{col 85}{space 3} .1667883
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5587052{col 44}{space 2} .0312221{col 55}{space 1}   17.89{col 64}{space 3}0.000{col 72}{space 4} .4971421{col 85}{space 3} .6202682
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto bin_h2black

. 
. reg selected i.gender b4.samerace_multi i.nativity i.party i.ideology i.experience i.same_party if asian==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     4,140
                                                {txt}F(12, 206)        =  {res}    21.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0617
                                                {txt}Root MSE          =    {res} .48509

{txt}{ralign 96:(Std. Err. adjusted for {res:207} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2}-.0001902{col 44}{space 2} .0167681{col 55}{space 1}   -0.01{col 64}{space 3}0.991{col 72}{space 4}-.0332492{col 85}{space 3} .0328689
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2} .1595949{col 44}{space 2} .0309851{col 55}{space 1}    5.15{col 64}{space 3}0.000{col 72}{space 4} .0985063{col 85}{space 3} .2206835
{txt}{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2} .1250768{col 44}{space 2}   .01862{col 55}{space 1}    6.72{col 64}{space 3}0.000{col 72}{space 4} .0883665{col 85}{space 3} .1617871
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2} .0356905{col 44}{space 2} .0191075{col 55}{space 1}    1.87{col 64}{space 3}0.063{col 72}{space 4}-.0019807{col 85}{space 3} .0733618
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.0862764{col 44}{space 2} .0176169{col 55}{space 1}   -4.90{col 64}{space 3}0.000{col 72}{space 4}-.1210089{col 85}{space 3}-.0515439
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0516585{col 44}{space 2} .0239167{col 55}{space 1}   -2.16{col 64}{space 3}0.032{col 72}{space 4}-.0988114{col 85}{space 3}-.0045056
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0191825{col 44}{space 2} .0221098{col 55}{space 1}    0.87{col 64}{space 3}0.387{col 72}{space 4} -.024408{col 85}{space 3}  .062773
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0314222{col 44}{space 2}  .022775{col 55}{space 1}    1.38{col 64}{space 3}0.169{col 72}{space 4}-.0134797{col 85}{space 3} .0763242
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0826859{col 44}{space 2} .0282688{col 55}{space 1}   -2.92{col 64}{space 3}0.004{col 72}{space 4}-.1384192{col 85}{space 3}-.0269526
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0911068{col 44}{space 2} .0214835{col 55}{space 1}   -4.24{col 64}{space 3}0.000{col 72}{space 4}-.1334626{col 85}{space 3} -.048751
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0290361{col 44}{space 2} .0198714{col 55}{space 1}   -1.46{col 64}{space 3}0.145{col 72}{space 4}-.0682135{col 85}{space 3} .0101413
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1549135{col 44}{space 2} .0189689{col 55}{space 1}    8.17{col 64}{space 3}0.000{col 72}{space 4} .1175155{col 85}{space 3} .1923115
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5021567{col 44}{space 2} .0342081{col 55}{space 1}   14.68{col 64}{space 3}0.000{col 72}{space 4} .4347138{col 85}{space 3} .5695997
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto bin_h2asian

. 
. reg selected i.gender b4.samerace_multi i.nativity i.party i.ideology i.experience i.same_party if hispanic==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     3,708
                                                {txt}F(12, 185)        =  {res}    16.85
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0628
                                                {txt}Root MSE          =    {res}  .4849

{txt}{ralign 96:(Std. Err. adjusted for {res:186} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0265241{col 44}{space 2} .0165595{col 55}{space 1}    1.60{col 64}{space 3}0.111{col 72}{space 4}-.0061455{col 85}{space 3} .0591938
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2} .1743337{col 44}{space 2} .0291196{col 55}{space 1}    5.99{col 64}{space 3}0.000{col 72}{space 4} .1168845{col 85}{space 3} .2317828
{txt}{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2} .1217987{col 44}{space 2} .0210162{col 55}{space 1}    5.80{col 64}{space 3}0.000{col 72}{space 4} .0803365{col 85}{space 3} .1632609
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2} .0516916{col 44}{space 2} .0205159{col 55}{space 1}    2.52{col 64}{space 3}0.013{col 72}{space 4} .0112164{col 85}{space 3} .0921669
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1266444{col 44}{space 2} .0211725{col 55}{space 1}   -5.98{col 64}{space 3}0.000{col 72}{space 4} -.168415{col 85}{space 3}-.0848737
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0785023{col 44}{space 2} .0257764{col 55}{space 1}   -3.05{col 64}{space 3}0.003{col 72}{space 4}-.1293558{col 85}{space 3}-.0276489
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0533154{col 44}{space 2}  .024239{col 55}{space 1}    2.20{col 64}{space 3}0.029{col 72}{space 4} .0054949{col 85}{space 3} .1011358
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0163863{col 44}{space 2} .0223011{col 55}{space 1}   -0.73{col 64}{space 3}0.463{col 72}{space 4}-.0603833{col 85}{space 3} .0276108
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0714659{col 44}{space 2} .0247589{col 55}{space 1}   -2.89{col 64}{space 3}0.004{col 72}{space 4}-.1203121{col 85}{space 3}-.0226198
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0753098{col 44}{space 2}   .02083{col 55}{space 1}   -3.62{col 64}{space 3}0.000{col 72}{space 4}-.1164047{col 85}{space 3}-.0342149
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0145145{col 44}{space 2} .0193284{col 55}{space 1}   -0.75{col 64}{space 3}0.454{col 72}{space 4}-.0526468{col 85}{space 3} .0236179
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1101608{col 44}{space 2} .0216089{col 55}{space 1}    5.10{col 64}{space 3}0.000{col 72}{space 4} .0675292{col 85}{space 3} .1527925
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5191441{col 44}{space 2} .0349262{col 55}{space 1}   14.86{col 64}{space 3}0.000{col 72}{space 4} .4502393{col 85}{space 3} .5880489
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto bin_h2hispanic

. 
. coefplot bin_h2white bin_h2black bin_h2asian bin_h2hispanic, baselevels drop(_cons) format (%12.2f) keep(1.samerace_multi 2.samerace_multi 3.samerace_multi 4.samerace_multi) 
{res}
{com}. 
. *esttab bin_h2white bin_h2black bin_h2asian bin_h2hispanic using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 5") mtitle("H2 White Rs" "H2 Black Rs" "H2 Asian Rs" "H2 Hispanic Rs") append

. 
. 
. *graph combine figure5_h1_subgroup.gph figure5_h2_subgroup.gph 

. 
. 
. 
. ***Figure 6 AMCES by race of voter and racial combos

. *Generating same-race/outsider by combination

. gen anywhitecan=.
{txt}(15,720 missing values generated)

{com}. replace anywhitecan=0 if race==2 | race==3 | race==4
{txt}(4,796 real changes made)

{com}. replace anywhitecan=1 if race==1
{txt}(1,598 real changes made)

{com}. replace anywhitecan=2 if race==5
{txt}(1,606 real changes made)

{com}. replace anywhitecan=3 if race==9
{txt}(1,534 real changes made)

{com}. replace anywhitecan=4 if race==10
{txt}(1,476 real changes made)

{com}. replace anywhitecan=5 if race==6 
{txt}(1,605 real changes made)

{com}. replace anywhitecan=6 if race==7
{txt}(1,562 real changes made)

{com}. replace anywhitecan=7 if race==8
{txt}(1,543 real changes made)

{com}. label variable anywhitecan "White Candidates"

. label define anywhitecan 0 "Outsider Monoracial" 1 "White" 2 "Black and White" 3 "Asian and White" 4 "Hispanic and White" 5 "Black and Asian" 6 "Black and Hispanic" 7 "Asian and Hispanic"

. label values anywhitecan anywhitecan

. tab race anywhitecan

                   {txt}{c |}                    White Candidates
              race {c |} Outsider       White  Black and  Asian and  Hispanic  {c |}     Total
{hline 19}{c +}{hline 55}{c +}{hline 10}
             White {c |}{res}         0      1,598          0          0          0 {txt}{c |}{res}     1,598 
{txt}             Black {c |}{res}     1,620          0          0          0          0 {txt}{c |}{res}     1,620 
{txt}             Asian {c |}{res}     1,560          0          0          0          0 {txt}{c |}{res}     1,560 
{txt}          Hispanic {c |}{res}     1,616          0          0          0          0 {txt}{c |}{res}     1,616 
{txt}   Black and White {c |}{res}         0          0      1,606          0          0 {txt}{c |}{res}     1,606 
{txt}   Black and Asian {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,605 
{txt}Black and Hispanic {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,562 
{txt}Asian and Hispanic {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,543 
{txt}   Asian and White {c |}{res}         0          0          0      1,534          0 {txt}{c |}{res}     1,534 
{txt}Hispanic and White {c |}{res}         0          0          0          0      1,476 {txt}{c |}{res}     1,476 
{txt}{hline 19}{c +}{hline 55}{c +}{hline 10}
             Total {c |}{res}     4,796      1,598      1,606      1,534      1,476 {txt}{c |}{res}    15,720 


                   {txt}{c |}         White Candidates
              race {c |} Black and  Black and  Asian and {c |}     Total
{hline 19}{c +}{hline 33}{c +}{hline 10}
             White {c |}{res}         0          0          0 {txt}{c |}{res}     1,598 
{txt}             Black {c |}{res}         0          0          0 {txt}{c |}{res}     1,620 
{txt}             Asian {c |}{res}         0          0          0 {txt}{c |}{res}     1,560 
{txt}          Hispanic {c |}{res}         0          0          0 {txt}{c |}{res}     1,616 
{txt}   Black and White {c |}{res}         0          0          0 {txt}{c |}{res}     1,606 
{txt}   Black and Asian {c |}{res}     1,605          0          0 {txt}{c |}{res}     1,605 
{txt}Black and Hispanic {c |}{res}         0      1,562          0 {txt}{c |}{res}     1,562 
{txt}Asian and Hispanic {c |}{res}         0          0      1,543 {txt}{c |}{res}     1,543 
{txt}   Asian and White {c |}{res}         0          0          0 {txt}{c |}{res}     1,534 
{txt}Hispanic and White {c |}{res}         0          0          0 {txt}{c |}{res}     1,476 
{txt}{hline 19}{c +}{hline 33}{c +}{hline 10}
             Total {c |}{res}     1,605      1,562      1,543 {txt}{c |}{res}    15,720 

{com}. 
. 
. gen anyblackcan=.
{txt}(15,720 missing values generated)

{com}. replace anyblackcan=0 if race==1 | race==3 | race==4
{txt}(4,774 real changes made)

{com}. replace anyblackcan=1 if race==2 
{txt}(1,620 real changes made)

{com}. replace anyblackcan=2 if race==5 
{txt}(1,606 real changes made)

{com}. replace anyblackcan=3 if race==6
{txt}(1,605 real changes made)

{com}. replace anyblackcan=4 if race==7
{txt}(1,562 real changes made)

{com}. replace anyblackcan=5 if race==8
{txt}(1,543 real changes made)

{com}. replace anyblackcan=6 if race==9
{txt}(1,534 real changes made)

{com}. replace anyblackcan=7 if race==10
{txt}(1,476 real changes made)

{com}. label variable anyblackcan "Black Candidates"

. label define anyblackcan 0 "Outsider Monoracial" 1 "Black" 2 "Black and White" 3 "Black and Asian" 4 "Black and Hispanic" 5 "Asian and Hispanic" 6 "Asian and White" 7 "Hispanic and White" 

. label values anyblackcan anyblackcan

. tab race anyblackcan

                   {txt}{c |}                    Black Candidates
              race {c |} Outsider       Black  Black and  Black and  Black and {c |}     Total
{hline 19}{c +}{hline 55}{c +}{hline 10}
             White {c |}{res}     1,598          0          0          0          0 {txt}{c |}{res}     1,598 
{txt}             Black {c |}{res}         0      1,620          0          0          0 {txt}{c |}{res}     1,620 
{txt}             Asian {c |}{res}     1,560          0          0          0          0 {txt}{c |}{res}     1,560 
{txt}          Hispanic {c |}{res}     1,616          0          0          0          0 {txt}{c |}{res}     1,616 
{txt}   Black and White {c |}{res}         0          0      1,606          0          0 {txt}{c |}{res}     1,606 
{txt}   Black and Asian {c |}{res}         0          0          0      1,605          0 {txt}{c |}{res}     1,605 
{txt}Black and Hispanic {c |}{res}         0          0          0          0      1,562 {txt}{c |}{res}     1,562 
{txt}Asian and Hispanic {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,543 
{txt}   Asian and White {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,534 
{txt}Hispanic and White {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,476 
{txt}{hline 19}{c +}{hline 55}{c +}{hline 10}
             Total {c |}{res}     4,774      1,620      1,606      1,605      1,562 {txt}{c |}{res}    15,720 


                   {txt}{c |}         Black Candidates
              race {c |} Asian and  Asian and  Hispanic  {c |}     Total
{hline 19}{c +}{hline 33}{c +}{hline 10}
             White {c |}{res}         0          0          0 {txt}{c |}{res}     1,598 
{txt}             Black {c |}{res}         0          0          0 {txt}{c |}{res}     1,620 
{txt}             Asian {c |}{res}         0          0          0 {txt}{c |}{res}     1,560 
{txt}          Hispanic {c |}{res}         0          0          0 {txt}{c |}{res}     1,616 
{txt}   Black and White {c |}{res}         0          0          0 {txt}{c |}{res}     1,606 
{txt}   Black and Asian {c |}{res}         0          0          0 {txt}{c |}{res}     1,605 
{txt}Black and Hispanic {c |}{res}         0          0          0 {txt}{c |}{res}     1,562 
{txt}Asian and Hispanic {c |}{res}     1,543          0          0 {txt}{c |}{res}     1,543 
{txt}   Asian and White {c |}{res}         0      1,534          0 {txt}{c |}{res}     1,534 
{txt}Hispanic and White {c |}{res}         0          0      1,476 {txt}{c |}{res}     1,476 
{txt}{hline 19}{c +}{hline 33}{c +}{hline 10}
             Total {c |}{res}     1,543      1,534      1,476 {txt}{c |}{res}    15,720 

{com}. 
. gen anyasiancan=.
{txt}(15,720 missing values generated)

{com}. replace anyasiancan=0 if race==1 | race==2 | race==4
{txt}(4,834 real changes made)

{com}. replace anyasiancan=1 if race==3 
{txt}(1,560 real changes made)

{com}. replace anyasiancan=2 if race==6 
{txt}(1,605 real changes made)

{com}. replace anyasiancan=3 if race==8
{txt}(1,543 real changes made)

{com}. replace anyasiancan=4 if race==9
{txt}(1,534 real changes made)

{com}. replace anyasiancan=5 if race==5
{txt}(1,606 real changes made)

{com}. replace anyasiancan=6 if race==7
{txt}(1,562 real changes made)

{com}. replace anyasiancan=7 if race==10
{txt}(1,476 real changes made)

{com}. label variable anyasiancan "Asian Candidates"

. label define anyasiancan 0 "Outsider Monoracial" 1 "Asian" 2 "Black and Asian" 3 "Asian and Hispanic" 4 "Asian and White" 5 "Black and White" 6 "Black and Hispanic" 7 "Hispanic and White"

. label values anyasiancan anyasiancan

. tab race anyasiancan

                   {txt}{c |}                    Asian Candidates
              race {c |} Outsider       Asian  Black and  Asian and  Asian and {c |}     Total
{hline 19}{c +}{hline 55}{c +}{hline 10}
             White {c |}{res}     1,598          0          0          0          0 {txt}{c |}{res}     1,598 
{txt}             Black {c |}{res}     1,620          0          0          0          0 {txt}{c |}{res}     1,620 
{txt}             Asian {c |}{res}         0      1,560          0          0          0 {txt}{c |}{res}     1,560 
{txt}          Hispanic {c |}{res}     1,616          0          0          0          0 {txt}{c |}{res}     1,616 
{txt}   Black and White {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,606 
{txt}   Black and Asian {c |}{res}         0          0      1,605          0          0 {txt}{c |}{res}     1,605 
{txt}Black and Hispanic {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,562 
{txt}Asian and Hispanic {c |}{res}         0          0          0      1,543          0 {txt}{c |}{res}     1,543 
{txt}   Asian and White {c |}{res}         0          0          0          0      1,534 {txt}{c |}{res}     1,534 
{txt}Hispanic and White {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,476 
{txt}{hline 19}{c +}{hline 55}{c +}{hline 10}
             Total {c |}{res}     4,834      1,560      1,605      1,543      1,534 {txt}{c |}{res}    15,720 


                   {txt}{c |}         Asian Candidates
              race {c |} Black and  Black and  Hispanic  {c |}     Total
{hline 19}{c +}{hline 33}{c +}{hline 10}
             White {c |}{res}         0          0          0 {txt}{c |}{res}     1,598 
{txt}             Black {c |}{res}         0          0          0 {txt}{c |}{res}     1,620 
{txt}             Asian {c |}{res}         0          0          0 {txt}{c |}{res}     1,560 
{txt}          Hispanic {c |}{res}         0          0          0 {txt}{c |}{res}     1,616 
{txt}   Black and White {c |}{res}     1,606          0          0 {txt}{c |}{res}     1,606 
{txt}   Black and Asian {c |}{res}         0          0          0 {txt}{c |}{res}     1,605 
{txt}Black and Hispanic {c |}{res}         0      1,562          0 {txt}{c |}{res}     1,562 
{txt}Asian and Hispanic {c |}{res}         0          0          0 {txt}{c |}{res}     1,543 
{txt}   Asian and White {c |}{res}         0          0          0 {txt}{c |}{res}     1,534 
{txt}Hispanic and White {c |}{res}         0          0      1,476 {txt}{c |}{res}     1,476 
{txt}{hline 19}{c +}{hline 33}{c +}{hline 10}
             Total {c |}{res}     1,606      1,562      1,476 {txt}{c |}{res}    15,720 

{com}. 
. gen anyhispcan=.
{txt}(15,720 missing values generated)

{com}. replace anyhispcan=0 if race==1 | race==2 | race==3
{txt}(4,778 real changes made)

{com}. replace anyhispcan=1 if race==4
{txt}(1,616 real changes made)

{com}. replace anyhispcan=2 if race==7
{txt}(1,562 real changes made)

{com}. replace anyhispcan=3 if race==8
{txt}(1,543 real changes made)

{com}. replace anyhispcan=4 if race==10
{txt}(1,476 real changes made)

{com}. replace anyhispcan=5 if race==5 
{txt}(1,606 real changes made)

{com}. replace anyhispcan=6 if race==6
{txt}(1,605 real changes made)

{com}. replace anyhispcan=7 if race==9
{txt}(1,534 real changes made)

{com}. label variable anyhispcan "Hispanic Candidates"

. label define anyhispcan 0 "Outsider Monoracial" 1 "Hispanic" 2 "Black and Hispanic" 3 "Asian and Hispanic" 4 "Hispanic and White" 5 "Black and White" 6 "Black and Asian" 7 "Asian and White"

. label values anyhispcan anyhispcan

. tab race anyhispcan

                   {txt}{c |}                  Hispanic Candidates
              race {c |} Outsider    Hispanic  Black and  Asian and  Hispanic  {c |}     Total
{hline 19}{c +}{hline 55}{c +}{hline 10}
             White {c |}{res}     1,598          0          0          0          0 {txt}{c |}{res}     1,598 
{txt}             Black {c |}{res}     1,620          0          0          0          0 {txt}{c |}{res}     1,620 
{txt}             Asian {c |}{res}     1,560          0          0          0          0 {txt}{c |}{res}     1,560 
{txt}          Hispanic {c |}{res}         0      1,616          0          0          0 {txt}{c |}{res}     1,616 
{txt}   Black and White {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,606 
{txt}   Black and Asian {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,605 
{txt}Black and Hispanic {c |}{res}         0          0      1,562          0          0 {txt}{c |}{res}     1,562 
{txt}Asian and Hispanic {c |}{res}         0          0          0      1,543          0 {txt}{c |}{res}     1,543 
{txt}   Asian and White {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,534 
{txt}Hispanic and White {c |}{res}         0          0          0          0      1,476 {txt}{c |}{res}     1,476 
{txt}{hline 19}{c +}{hline 55}{c +}{hline 10}
             Total {c |}{res}     4,778      1,616      1,562      1,543      1,476 {txt}{c |}{res}    15,720 


                   {txt}{c |}       Hispanic Candidates
              race {c |} Black and  Black and  Asian and {c |}     Total
{hline 19}{c +}{hline 33}{c +}{hline 10}
             White {c |}{res}         0          0          0 {txt}{c |}{res}     1,598 
{txt}             Black {c |}{res}         0          0          0 {txt}{c |}{res}     1,620 
{txt}             Asian {c |}{res}         0          0          0 {txt}{c |}{res}     1,560 
{txt}          Hispanic {c |}{res}         0          0          0 {txt}{c |}{res}     1,616 
{txt}   Black and White {c |}{res}     1,606          0          0 {txt}{c |}{res}     1,606 
{txt}   Black and Asian {c |}{res}         0      1,605          0 {txt}{c |}{res}     1,605 
{txt}Black and Hispanic {c |}{res}         0          0          0 {txt}{c |}{res}     1,562 
{txt}Asian and Hispanic {c |}{res}         0          0          0 {txt}{c |}{res}     1,543 
{txt}   Asian and White {c |}{res}         0          0      1,534 {txt}{c |}{res}     1,534 
{txt}Hispanic and White {c |}{res}         0          0          0 {txt}{c |}{res}     1,476 
{txt}{hline 19}{c +}{hline 33}{c +}{hline 10}
             Total {c |}{res}     1,606      1,605      1,534 {txt}{c |}{res}    15,720 

{com}. 
. *H1

. reg selected i.gender b1.anywhitecan i.nativity i.party  i.ideology i.experience i.same_party if white==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     3,800
                                                {txt}F(16, 189)        =  {res}    13.22
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0626
                                                {txt}Root MSE          =    {res} .48519

{txt}{ralign 96:(Std. Err. adjusted for {res:190} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0498974{col 44}{space 2} .0180695{col 55}{space 1}    2.76{col 64}{space 3}0.006{col 72}{space 4} .0142535{col 85}{space 3} .0855413
{txt}{space 30} {c |}
{space 19}anywhitecan {c |}
{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}-.0925734{col 44}{space 2} .0294614{col 55}{space 1}   -3.14{col 64}{space 3}0.002{col 72}{space 4}-.1506888{col 85}{space 3}-.0344579
{txt}{space 24}White  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 14}Black and White  {c |}{col 32}{res}{space 2} -.031105{col 44}{space 2} .0382832{col 55}{space 1}   -0.81{col 64}{space 3}0.418{col 72}{space 4}-.1066222{col 85}{space 3} .0444122
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2}-.0666419{col 44}{space 2} .0361563{col 55}{space 1}   -1.84{col 64}{space 3}0.067{col 72}{space 4}-.1379636{col 85}{space 3} .0046797
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.0475232{col 44}{space 2} .0374081{col 55}{space 1}   -1.27{col 64}{space 3}0.206{col 72}{space 4}-.1213143{col 85}{space 3} .0262678
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2}-.0511246{col 44}{space 2} .0368473{col 55}{space 1}   -1.39{col 64}{space 3}0.167{col 72}{space 4}-.1238093{col 85}{space 3} .0215601
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2}-.1050917{col 44}{space 2} .0379953{col 55}{space 1}   -2.77{col 64}{space 3}0.006{col 72}{space 4}-.1800411{col 85}{space 3}-.0301423
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}-.1058407{col 44}{space 2} .0412701{col 55}{space 1}   -2.56{col 64}{space 3}0.011{col 72}{space 4}-.1872499{col 85}{space 3}-.0244316
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1616193{col 44}{space 2}  .019791{col 55}{space 1}   -8.17{col 64}{space 3}0.000{col 72}{space 4}-.2006589{col 85}{space 3}-.1225797
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2} -.033562{col 44}{space 2}  .024184{col 55}{space 1}   -1.39{col 64}{space 3}0.167{col 72}{space 4}-.0812673{col 85}{space 3} .0141433
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0495733{col 44}{space 2} .0219137{col 55}{space 1}    2.26{col 64}{space 3}0.025{col 72}{space 4} .0063463{col 85}{space 3} .0928002
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0086374{col 44}{space 2} .0229044{col 55}{space 1}    0.38{col 64}{space 3}0.707{col 72}{space 4}-.0365437{col 85}{space 3} .0538185
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0495595{col 44}{space 2} .0272989{col 55}{space 1}   -1.82{col 64}{space 3}0.071{col 72}{space 4}-.1034092{col 85}{space 3} .0042902
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0640258{col 44}{space 2} .0210901{col 55}{space 1}   -3.04{col 64}{space 3}0.003{col 72}{space 4} -.105628{col 85}{space 3}-.0224237
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2} -.003036{col 44}{space 2} .0202983{col 55}{space 1}   -0.15{col 64}{space 3}0.881{col 72}{space 4}-.0430763{col 85}{space 3} .0370044
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1490903{col 44}{space 2} .0206868{col 55}{space 1}    7.21{col 64}{space 3}0.000{col 72}{space 4} .1082837{col 85}{space 3}  .189897
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .6044003{col 44}{space 2} .0388654{col 55}{space 1}   15.55{col 64}{space 3}0.000{col 72}{space 4} .5277346{col 85}{space 3} .6810659
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto h1_whitecombo

. coefplot h1_whitecombo, baselevels drop(_cons) format (%12.2f) keep(0.anywhitecan 1.anywhitecan 2.anywhitecan 3.anywhitecan 4.anywhitecan 5.anywhitecan 6.anywhitecan 7.anywhitecan) headings(0.anywhitecan="{c -(}bf:Outsider Monoracials{c )-}" 1.anywhitecan="{c -(}bf: Same-Race Monoracial{c )-}" 2.anywhitecan="{c -(}bf:Same-Race Multiracials{c )-}" 5.anywhitecan="{c -(}bf: Outsider Multiracials{c )-}")
{res}
{com}. 
. reg selected i.gender b1.anyblackcan i.nativity i.party i.ideology i.experience i.same_party if black==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     4,060
                                                {txt}F(16, 202)        =  {res}    26.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0905
                                                {txt}Root MSE          =    {res} .47784

{txt}{ralign 96:(Std. Err. adjusted for {res:203} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0162733{col 44}{space 2} .0158448{col 55}{space 1}    1.03{col 64}{space 3}0.306{col 72}{space 4}-.0149692{col 85}{space 3} .0475157
{txt}{space 30} {c |}
{space 19}anyblackcan {c |}
{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}-.1629468{col 44}{space 2} .0288525{col 55}{space 1}   -5.65{col 64}{space 3}0.000{col 72}{space 4}-.2198375{col 85}{space 3}-.1060561
{txt}{space 24}Black  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 14}Black and White  {c |}{col 32}{res}{space 2}-.0344882{col 44}{space 2} .0303089{col 55}{space 1}   -1.14{col 64}{space 3}0.257{col 72}{space 4}-.0942506{col 85}{space 3} .0252742
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2}-.0271485{col 44}{space 2} .0349617{col 55}{space 1}   -0.78{col 64}{space 3}0.438{col 72}{space 4}-.0960852{col 85}{space 3} .0417882
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2}-.0085028{col 44}{space 2} .0347839{col 55}{space 1}   -0.24{col 64}{space 3}0.807{col 72}{space 4} -.077089{col 85}{space 3} .0600833
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}-.1194743{col 44}{space 2} .0322471{col 55}{space 1}   -3.70{col 64}{space 3}0.000{col 72}{space 4}-.1830584{col 85}{space 3}-.0558902
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} -.174238{col 44}{space 2} .0311148{col 55}{space 1}   -5.60{col 64}{space 3}0.000{col 72}{space 4}-.2355894{col 85}{space 3}-.1128865
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.0993186{col 44}{space 2}  .032113{col 55}{space 1}   -3.09{col 64}{space 3}0.002{col 72}{space 4}-.1626384{col 85}{space 3}-.0359988
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1126334{col 44}{space 2} .0174183{col 55}{space 1}   -6.47{col 64}{space 3}0.000{col 72}{space 4}-.1469784{col 85}{space 3}-.0782884
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.1585885{col 44}{space 2} .0289773{col 55}{space 1}   -5.47{col 64}{space 3}0.000{col 72}{space 4}-.2157253{col 85}{space 3}-.1014517
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0049732{col 44}{space 2} .0232207{col 55}{space 1}    0.21{col 64}{space 3}0.831{col 72}{space 4}-.0408128{col 85}{space 3} .0507593
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0032386{col 44}{space 2} .0199319{col 55}{space 1}   -0.16{col 64}{space 3}0.871{col 72}{space 4}-.0425399{col 85}{space 3} .0360627
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.1026097{col 44}{space 2} .0227684{col 55}{space 1}   -4.51{col 64}{space 3}0.000{col 72}{space 4} -.147504{col 85}{space 3}-.0577154
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0542907{col 44}{space 2} .0203301{col 55}{space 1}   -2.67{col 64}{space 3}0.008{col 72}{space 4}-.0943771{col 85}{space 3}-.0142043
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0405359{col 44}{space 2}  .017473{col 55}{space 1}   -2.32{col 64}{space 3}0.021{col 72}{space 4}-.0749888{col 85}{space 3} -.006083
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1200089{col 44}{space 2} .0239974{col 55}{space 1}    5.00{col 64}{space 3}0.000{col 72}{space 4} .0726914{col 85}{space 3} .1673264
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .7221544{col 44}{space 2} .0383997{col 55}{space 1}   18.81{col 64}{space 3}0.000{col 72}{space 4} .6464388{col 85}{space 3} .7978701
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto h1_blackcombo

. coefplot h1_blackcombo, baselevels drop(_cons) format (%12.2f) keep(0.anyblackcan  1.anyblackcan  2.anyblackcan 3.anyblackcan 4.anyblackcan 5.anyblackcan 6.anyblackcan 7.anyblackcan) headings(0.anyblackcan="{c -(}bf:Outsider Monoracials{c )-}" 1.anyblackcan="{c -(}bf: Same-Race Monoracial{c )-}" 2.anyblackcan="{c -(}bf:Same-Race Multiracials{c )-}" 5.anyblackcan="{c -(}bf: Outsider Multiracials{c )-}")
{res}
{com}. 
. reg selected i.gender b1.anyasiancan i.nativity i.party i.ideology i.experience i.same_party if asian==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     4,140
                                                {txt}F(16, 206)        =  {res}    16.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0626
                                                {txt}Root MSE          =    {res}  .4851

{txt}{ralign 96:(Std. Err. adjusted for {res:207} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2}-.0004344{col 44}{space 2} .0167601{col 55}{space 1}   -0.03{col 64}{space 3}0.979{col 72}{space 4}-.0334776{col 85}{space 3} .0326089
{txt}{space 30} {c |}
{space 19}anyasiancan {c |}
{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}-.1595707{col 44}{space 2} .0309924{col 55}{space 1}   -5.15{col 64}{space 3}0.000{col 72}{space 4}-.2206736{col 85}{space 3}-.0984678
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 14}Black and Asian  {c |}{col 32}{res}{space 2}-.0669458{col 44}{space 2} .0361777{col 55}{space 1}   -1.85{col 64}{space 3}0.066{col 72}{space 4}-.1382718{col 85}{space 3} .0043803
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}-.0193147{col 44}{space 2} .0383479{col 55}{space 1}   -0.50{col 64}{space 3}0.615{col 72}{space 4}-.0949194{col 85}{space 3} .0562899
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2}-.0151533{col 44}{space 2}  .032894{col 55}{space 1}   -0.46{col 64}{space 3}0.646{col 72}{space 4}-.0800055{col 85}{space 3} .0496988
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2}-.1074989{col 44}{space 2} .0379725{col 55}{space 1}   -2.83{col 64}{space 3}0.005{col 72}{space 4}-.1823635{col 85}{space 3}-.0326343
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2}-.1366969{col 44}{space 2} .0376645{col 55}{space 1}   -3.63{col 64}{space 3}0.000{col 72}{space 4}-.2109543{col 85}{space 3}-.0624395
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.1282212{col 44}{space 2} .0396466{col 55}{space 1}   -3.23{col 64}{space 3}0.001{col 72}{space 4}-.2063863{col 85}{space 3}-.0500562
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.0866053{col 44}{space 2} .0177164{col 55}{space 1}   -4.89{col 64}{space 3}0.000{col 72}{space 4} -.121534{col 85}{space 3}-.0516766
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0522784{col 44}{space 2} .0240125{col 55}{space 1}   -2.18{col 64}{space 3}0.031{col 72}{space 4}-.0996202{col 85}{space 3}-.0049365
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0185585{col 44}{space 2} .0221928{col 55}{space 1}    0.84{col 64}{space 3}0.404{col 72}{space 4}-.0251956{col 85}{space 3} .0623126
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0304467{col 44}{space 2} .0228189{col 55}{space 1}    1.33{col 64}{space 3}0.184{col 72}{space 4}-.0145418{col 85}{space 3} .0754353
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0833473{col 44}{space 2} .0282512{col 55}{space 1}   -2.95{col 64}{space 3}0.004{col 72}{space 4}-.1390458{col 85}{space 3}-.0276488
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0891377{col 44}{space 2} .0216084{col 55}{space 1}   -4.13{col 64}{space 3}0.000{col 72}{space 4}-.1317397{col 85}{space 3}-.0465357
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2} -.027743{col 44}{space 2} .0199755{col 55}{space 1}   -1.39{col 64}{space 3}0.166{col 72}{space 4}-.0671255{col 85}{space 3} .0116396
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1545772{col 44}{space 2} .0190031{col 55}{space 1}    8.13{col 64}{space 3}0.000{col 72}{space 4} .1171117{col 85}{space 3} .1920428
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}  .661982{col 44}{space 2} .0404772{col 55}{space 1}   16.35{col 64}{space 3}0.000{col 72}{space 4} .5821793{col 85}{space 3} .7417847
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto h1_asiancombo

. coefplot h1_asiancombo, baselevels drop(_cons) format (%12.2f) keep(0.anyasiancan  1.anyasiancan  2.anyasiancan 3.anyasiancan 4.anyasiancan 5.anyasiancan 6.anyasiancan 7.anyasiancan) headings(0.anyasiancan="{c -(}bf:Outsider Monoracials{c )-}" 1.anyasiancan="{c -(}bf: Same-Race Monoracial{c )-}" 2.anyasiancan="{c -(}bf:Same-Race Multiracials{c )-}" 5.anyasiancan="{c -(}bf: Outsider Multiracials{c )-}")
{res}
{com}. 
. reg selected i.gender b1.anyhispcan i.nativity i.party i.ideology i.experience i.same_party if hispanic==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     3,708
                                                {txt}F(16, 185)        =  {res}    13.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0636
                                                {txt}Root MSE          =    {res} .48496

{txt}{ralign 96:(Std. Err. adjusted for {res:186} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0269223{col 44}{space 2} .0165237{col 55}{space 1}    1.63{col 64}{space 3}0.105{col 72}{space 4}-.0056767{col 85}{space 3} .0595214
{txt}{space 30} {c |}
{space 20}anyhispcan {c |}
{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}-.1742833{col 44}{space 2} .0291417{col 55}{space 1}   -5.98{col 64}{space 3}0.000{col 72}{space 4}-.2317761{col 85}{space 3}-.1167905
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2}-.0494498{col 44}{space 2} .0339049{col 55}{space 1}   -1.46{col 64}{space 3}0.146{col 72}{space 4}-.1163397{col 85}{space 3} .0174401
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}-.0734889{col 44}{space 2} .0377895{col 55}{space 1}   -1.94{col 64}{space 3}0.053{col 72}{space 4}-.1480427{col 85}{space 3} .0010648
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2}-.0344728{col 44}{space 2} .0368498{col 55}{space 1}   -0.94{col 64}{space 3}0.351{col 72}{space 4}-.1071726{col 85}{space 3}  .038227
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2}-.1081475{col 44}{space 2} .0388466{col 55}{space 1}   -2.78{col 64}{space 3}0.006{col 72}{space 4}-.1847868{col 85}{space 3}-.0315083
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2}-.1505825{col 44}{space 2} .0364937{col 55}{space 1}   -4.13{col 64}{space 3}0.000{col 72}{space 4}-.2225799{col 85}{space 3}-.0785851
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2}-.1070197{col 44}{space 2} .0381483{col 55}{space 1}   -2.81{col 64}{space 3}0.006{col 72}{space 4}-.1822815{col 85}{space 3} -.031758
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1261381{col 44}{space 2} .0213505{col 55}{space 1}   -5.91{col 64}{space 3}0.000{col 72}{space 4}-.1682598{col 85}{space 3}-.0840164
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0789609{col 44}{space 2} .0258022{col 55}{space 1}   -3.06{col 64}{space 3}0.003{col 72}{space 4}-.1298652{col 85}{space 3}-.0280566
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0527743{col 44}{space 2} .0242601{col 55}{space 1}    2.18{col 64}{space 3}0.031{col 72}{space 4} .0049123{col 85}{space 3} .1006363
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0164591{col 44}{space 2} .0222613{col 55}{space 1}   -0.74{col 64}{space 3}0.461{col 72}{space 4}-.0603778{col 85}{space 3} .0274596
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0711689{col 44}{space 2} .0247915{col 55}{space 1}   -2.87{col 64}{space 3}0.005{col 72}{space 4}-.1200792{col 85}{space 3}-.0222586
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0750133{col 44}{space 2} .0208889{col 55}{space 1}   -3.59{col 64}{space 3}0.000{col 72}{space 4}-.1162244{col 85}{space 3}-.0338022
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0145495{col 44}{space 2} .0194771{col 55}{space 1}   -0.75{col 64}{space 3}0.456{col 72}{space 4}-.0529753{col 85}{space 3} .0238762
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1088143{col 44}{space 2} .0216792{col 55}{space 1}    5.02{col 64}{space 3}0.000{col 72}{space 4} .0660441{col 85}{space 3} .1515844
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .6935606{col 44}{space 2} .0410497{col 55}{space 1}   16.90{col 64}{space 3}0.000{col 72}{space 4} .6125748{col 85}{space 3} .7745463
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto h1_hispaniccombo

. coefplot h1_hispaniccombo, baselevels drop(_cons) format (%12.2f) keep(0.anyhispcan  1.anyhispcan  2.anyhispcan 3.anyhispcan 4.anyhispcan 5.anyhispcan 6.anyhispcan 7.anyhispcan) headings(0.anyhispcan="{c -(}bf:Outsider Monoracials{c )-}" 1.anyhispcan="{c -(}bf: Same-Race Monoracial{c )-}" 2.anyhispcan="{c -(}bf:Same-Race Multiracials{c )-}" 5.anyhispcan="{c -(}bf: Outsider Multiracials{c )-}")
{res}
{com}. 
. *esttab h1_whitecombo h1_blackcombo h1_asiancombo h1_hispaniccombo using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 6") mtitle("H1 White Rs" "H1 Black Rs" "H1 Asian Rs" "H1 Hispanic Rs") append

. 
. 
. *graph combine figure6_white_h1.gph figure6_black_h1.gph figure6_asian_h1.gph figure6_hisp_h1.gph

. 
. 
. ***Figure 7 AMCES by race of voter and racial combos

. *H2

. reg selected i.gender b0.anywhitecan i.nativity i.party  i.ideology i.experience i.same_party if white==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     3,800
                                                {txt}F(16, 189)        =  {res}    13.22
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0626
                                                {txt}Root MSE          =    {res} .48519

{txt}{ralign 96:(Std. Err. adjusted for {res:190} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0498974{col 44}{space 2} .0180695{col 55}{space 1}    2.76{col 64}{space 3}0.006{col 72}{space 4} .0142535{col 85}{space 3} .0855413
{txt}{space 30} {c |}
{space 19}anywhitecan {c |}
{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}White  {c |}{col 32}{res}{space 2} .0925734{col 44}{space 2} .0294614{col 55}{space 1}    3.14{col 64}{space 3}0.002{col 72}{space 4} .0344579{col 85}{space 3} .1506888
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0614684{col 44}{space 2} .0285743{col 55}{space 1}    2.15{col 64}{space 3}0.033{col 72}{space 4} .0051029{col 85}{space 3} .1178339
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0259315{col 44}{space 2} .0300128{col 55}{space 1}    0.86{col 64}{space 3}0.389{col 72}{space 4}-.0332716{col 85}{space 3} .0851345
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .0450501{col 44}{space 2} .0299982{col 55}{space 1}    1.50{col 64}{space 3}0.135{col 72}{space 4}-.0141242{col 85}{space 3} .1042245
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0414488{col 44}{space 2} .0281027{col 55}{space 1}    1.47{col 64}{space 3}0.142{col 72}{space 4}-.0139864{col 85}{space 3} .0968839
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2}-.0125183{col 44}{space 2} .0292277{col 55}{space 1}   -0.43{col 64}{space 3}0.669{col 72}{space 4}-.0701726{col 85}{space 3} .0451361
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2}-.0132674{col 44}{space 2} .0286152{col 55}{space 1}   -0.46{col 64}{space 3}0.643{col 72}{space 4}-.0697136{col 85}{space 3} .0431789
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1616193{col 44}{space 2}  .019791{col 55}{space 1}   -8.17{col 64}{space 3}0.000{col 72}{space 4}-.2006589{col 85}{space 3}-.1225797
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2} -.033562{col 44}{space 2}  .024184{col 55}{space 1}   -1.39{col 64}{space 3}0.167{col 72}{space 4}-.0812673{col 85}{space 3} .0141433
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0495733{col 44}{space 2} .0219137{col 55}{space 1}    2.26{col 64}{space 3}0.025{col 72}{space 4} .0063463{col 85}{space 3} .0928002
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0086374{col 44}{space 2} .0229044{col 55}{space 1}    0.38{col 64}{space 3}0.707{col 72}{space 4}-.0365437{col 85}{space 3} .0538185
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0495595{col 44}{space 2} .0272989{col 55}{space 1}   -1.82{col 64}{space 3}0.071{col 72}{space 4}-.1034092{col 85}{space 3} .0042902
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0640258{col 44}{space 2} .0210901{col 55}{space 1}   -3.04{col 64}{space 3}0.003{col 72}{space 4} -.105628{col 85}{space 3}-.0224237
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2} -.003036{col 44}{space 2} .0202983{col 55}{space 1}   -0.15{col 64}{space 3}0.881{col 72}{space 4}-.0430763{col 85}{space 3} .0370044
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1490903{col 44}{space 2} .0206868{col 55}{space 1}    7.21{col 64}{space 3}0.000{col 72}{space 4} .1082837{col 85}{space 3}  .189897
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5118269{col 44}{space 2}   .03283{col 55}{space 1}   15.59{col 64}{space 3}0.000{col 72}{space 4} .4470666{col 85}{space 3} .5765872
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto h2_whitecombo

. coefplot h2_whitecombo, baselevels drop(_cons) format (%12.2f) keep(0.anywhitecan 1.anywhitecan 2.anywhitecan 3.anywhitecan 4.anywhitecan 5.anywhitecan 6.anywhitecan 7.anywhitecan) headings(0.anywhitecan="{c -(}bf:Outsider Monoracials{c )-}" 1.anywhitecan="{c -(}bf: Same-Race Monoracial{c )-}" 2.anywhitecan="{c -(}bf:Same-Race Multiracials{c )-}" 5.anywhitecan="{c -(}bf: Outsider Multiracials{c )-}")
{res}
{com}. 
. reg selected i.gender b0.anyblackcan i.nativity i.party i.ideology i.experience i.same_party if black==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     4,060
                                                {txt}F(16, 202)        =  {res}    26.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0905
                                                {txt}Root MSE          =    {res} .47784

{txt}{ralign 96:(Std. Err. adjusted for {res:203} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0162733{col 44}{space 2} .0158448{col 55}{space 1}    1.03{col 64}{space 3}0.306{col 72}{space 4}-.0149692{col 85}{space 3} .0475157
{txt}{space 30} {c |}
{space 19}anyblackcan {c |}
{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Black  {c |}{col 32}{res}{space 2} .1629468{col 44}{space 2} .0288525{col 55}{space 1}    5.65{col 64}{space 3}0.000{col 72}{space 4} .1060561{col 85}{space 3} .2198375
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .1284586{col 44}{space 2}  .025746{col 55}{space 1}    4.99{col 64}{space 3}0.000{col 72}{space 4} .0776931{col 85}{space 3}  .179224
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .1357982{col 44}{space 2} .0291995{col 55}{space 1}    4.65{col 64}{space 3}0.000{col 72}{space 4} .0782232{col 85}{space 3} .1933732
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .1544439{col 44}{space 2} .0296587{col 55}{space 1}    5.21{col 64}{space 3}0.000{col 72}{space 4} .0959635{col 85}{space 3} .2129243
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .0434724{col 44}{space 2} .0275852{col 55}{space 1}    1.58{col 64}{space 3}0.117{col 72}{space 4}-.0109195{col 85}{space 3} .0978644
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2}-.0112912{col 44}{space 2} .0275558{col 55}{space 1}   -0.41{col 64}{space 3}0.682{col 72}{space 4}-.0656252{col 85}{space 3} .0430428
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .0636281{col 44}{space 2} .0275408{col 55}{space 1}    2.31{col 64}{space 3}0.022{col 72}{space 4} .0093237{col 85}{space 3} .1179326
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1126334{col 44}{space 2} .0174183{col 55}{space 1}   -6.47{col 64}{space 3}0.000{col 72}{space 4}-.1469784{col 85}{space 3}-.0782884
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.1585885{col 44}{space 2} .0289773{col 55}{space 1}   -5.47{col 64}{space 3}0.000{col 72}{space 4}-.2157253{col 85}{space 3}-.1014517
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0049732{col 44}{space 2} .0232207{col 55}{space 1}    0.21{col 64}{space 3}0.831{col 72}{space 4}-.0408128{col 85}{space 3} .0507593
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0032386{col 44}{space 2} .0199319{col 55}{space 1}   -0.16{col 64}{space 3}0.871{col 72}{space 4}-.0425399{col 85}{space 3} .0360627
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.1026097{col 44}{space 2} .0227684{col 55}{space 1}   -4.51{col 64}{space 3}0.000{col 72}{space 4} -.147504{col 85}{space 3}-.0577154
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0542907{col 44}{space 2} .0203301{col 55}{space 1}   -2.67{col 64}{space 3}0.008{col 72}{space 4}-.0943771{col 85}{space 3}-.0142043
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0405359{col 44}{space 2}  .017473{col 55}{space 1}   -2.32{col 64}{space 3}0.021{col 72}{space 4}-.0749888{col 85}{space 3} -.006083
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1200089{col 44}{space 2} .0239974{col 55}{space 1}    5.00{col 64}{space 3}0.000{col 72}{space 4} .0726914{col 85}{space 3} .1673264
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5592077{col 44}{space 2} .0311203{col 55}{space 1}   17.97{col 64}{space 3}0.000{col 72}{space 4} .4978453{col 85}{space 3}   .62057
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto h2_blackcombo

. coefplot h2_blackcombo, baselevels drop(_cons) format (%12.2f) keep(0.anyblackcan  1.anyblackcan  2.anyblackcan 3.anyblackcan 4.anyblackcan 5.anyblackcan 6.anyblackcan 7.anyblackcan) headings(0.anyblackcan="{c -(}bf:Outsider Monoracials{c )-}" 1.anyblackcan="{c -(}bf: Same-Race Monoracial{c )-}" 2.anyblackcan="{c -(}bf:Same-Race Multiracials{c )-}" 5.anyblackcan="{c -(}bf: Outsider Multiracials{c )-}")
{res}
{com}. 
. reg selected i.gender b0.anyasiancan i.nativity i.party i.ideology i.experience i.same_party if asian==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     4,140
                                                {txt}F(16, 206)        =  {res}    16.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0626
                                                {txt}Root MSE          =    {res}  .4851

{txt}{ralign 96:(Std. Err. adjusted for {res:207} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2}-.0004344{col 44}{space 2} .0167601{col 55}{space 1}   -0.03{col 64}{space 3}0.979{col 72}{space 4}-.0334776{col 85}{space 3} .0326089
{txt}{space 30} {c |}
{space 19}anyasiancan {c |}
{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 24}Asian  {c |}{col 32}{res}{space 2} .1595707{col 44}{space 2} .0309924{col 55}{space 1}    5.15{col 64}{space 3}0.000{col 72}{space 4} .0984678{col 85}{space 3} .2206736
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0926249{col 44}{space 2} .0272149{col 55}{space 1}    3.40{col 64}{space 3}0.001{col 72}{space 4} .0389695{col 85}{space 3} .1462803
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .1402559{col 44}{space 2} .0282709{col 55}{space 1}    4.96{col 64}{space 3}0.000{col 72}{space 4} .0845185{col 85}{space 3} .1959933
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .1444173{col 44}{space 2}  .027259{col 55}{space 1}    5.30{col 64}{space 3}0.000{col 72}{space 4} .0906749{col 85}{space 3} .1981597
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0520718{col 44}{space 2} .0261022{col 55}{space 1}    1.99{col 64}{space 3}0.047{col 72}{space 4} .0006101{col 85}{space 3} .1035335
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .0228738{col 44}{space 2} .0266789{col 55}{space 1}    0.86{col 64}{space 3}0.392{col 72}{space 4} -.029725{col 85}{space 3} .0754725
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .0313494{col 44}{space 2} .0298631{col 55}{space 1}    1.05{col 64}{space 3}0.295{col 72}{space 4}-.0275272{col 85}{space 3}  .090226
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.0866053{col 44}{space 2} .0177164{col 55}{space 1}   -4.89{col 64}{space 3}0.000{col 72}{space 4} -.121534{col 85}{space 3}-.0516766
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0522784{col 44}{space 2} .0240125{col 55}{space 1}   -2.18{col 64}{space 3}0.031{col 72}{space 4}-.0996202{col 85}{space 3}-.0049365
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0185585{col 44}{space 2} .0221928{col 55}{space 1}    0.84{col 64}{space 3}0.404{col 72}{space 4}-.0251956{col 85}{space 3} .0623126
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0304467{col 44}{space 2} .0228189{col 55}{space 1}    1.33{col 64}{space 3}0.184{col 72}{space 4}-.0145418{col 85}{space 3} .0754353
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0833473{col 44}{space 2} .0282512{col 55}{space 1}   -2.95{col 64}{space 3}0.004{col 72}{space 4}-.1390458{col 85}{space 3}-.0276488
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0891377{col 44}{space 2} .0216084{col 55}{space 1}   -4.13{col 64}{space 3}0.000{col 72}{space 4}-.1317397{col 85}{space 3}-.0465357
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2} -.027743{col 44}{space 2} .0199755{col 55}{space 1}   -1.39{col 64}{space 3}0.166{col 72}{space 4}-.0671255{col 85}{space 3} .0116396
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1545772{col 44}{space 2} .0190031{col 55}{space 1}    8.13{col 64}{space 3}0.000{col 72}{space 4} .1171117{col 85}{space 3} .1920428
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5024113{col 44}{space 2} .0342076{col 55}{space 1}   14.69{col 64}{space 3}0.000{col 72}{space 4} .4349694{col 85}{space 3} .5698533
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto h2_asiancombo

. coefplot h2_asiancombo, baselevels drop(_cons) format (%12.2f) keep(0.anyasiancan  1.anyasiancan  2.anyasiancan 3.anyasiancan 4.anyasiancan 5.anyasiancan 6.anyasiancan 7.anyasiancan) headings(0.anyasiancan="{c -(}bf:Outsider Monoracials{c )-}" 1.anyasiancan="{c -(}bf: Same-Race Monoracial{c )-}" 2.anyasiancan="{c -(}bf:Same-Race Multiracials{c )-}" 5.anyasiancan="{c -(}bf: Outsider Multiracials{c )-}")
{res}
{com}. 
. reg selected i.gender b0.anyhispcan i.nativity i.party i.ideology i.experience i.same_party if hispanic==1, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}     3,708
                                                {txt}F(16, 185)        =  {res}    13.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0636
                                                {txt}Root MSE          =    {res} .48496

{txt}{ralign 96:(Std. Err. adjusted for {res:186} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0269223{col 44}{space 2} .0165237{col 55}{space 1}    1.63{col 64}{space 3}0.105{col 72}{space 4}-.0056767{col 85}{space 3} .0595214
{txt}{space 30} {c |}
{space 20}anyhispcan {c |}
{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Hispanic  {c |}{col 32}{res}{space 2} .1742833{col 44}{space 2} .0291417{col 55}{space 1}    5.98{col 64}{space 3}0.000{col 72}{space 4} .1167905{col 85}{space 3} .2317761
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .1248335{col 44}{space 2} .0283772{col 55}{space 1}    4.40{col 64}{space 3}0.000{col 72}{space 4} .0688491{col 85}{space 3}  .180818
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .1007944{col 44}{space 2} .0293566{col 55}{space 1}    3.43{col 64}{space 3}0.001{col 72}{space 4} .0428777{col 85}{space 3}  .158711
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .1398105{col 44}{space 2} .0287214{col 55}{space 1}    4.87{col 64}{space 3}0.000{col 72}{space 4} .0831469{col 85}{space 3} .1964741
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0661358{col 44}{space 2} .0323774{col 55}{space 1}    2.04{col 64}{space 3}0.043{col 72}{space 4} .0022595{col 85}{space 3} .1300121
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0237008{col 44}{space 2} .0274117{col 55}{space 1}    0.86{col 64}{space 3}0.388{col 72}{space 4} -.030379{col 85}{space 3} .0777806
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0672636{col 44}{space 2} .0285932{col 55}{space 1}    2.35{col 64}{space 3}0.020{col 72}{space 4} .0108528{col 85}{space 3} .1236743
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1261381{col 44}{space 2} .0213505{col 55}{space 1}   -5.91{col 64}{space 3}0.000{col 72}{space 4}-.1682598{col 85}{space 3}-.0840164
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0789609{col 44}{space 2} .0258022{col 55}{space 1}   -3.06{col 64}{space 3}0.003{col 72}{space 4}-.1298652{col 85}{space 3}-.0280566
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0527743{col 44}{space 2} .0242601{col 55}{space 1}    2.18{col 64}{space 3}0.031{col 72}{space 4} .0049123{col 85}{space 3} .1006363
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}-.0164591{col 44}{space 2} .0222613{col 55}{space 1}   -0.74{col 64}{space 3}0.461{col 72}{space 4}-.0603778{col 85}{space 3} .0274596
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0711689{col 44}{space 2} .0247915{col 55}{space 1}   -2.87{col 64}{space 3}0.005{col 72}{space 4}-.1200792{col 85}{space 3}-.0222586
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0750133{col 44}{space 2} .0208889{col 55}{space 1}   -3.59{col 64}{space 3}0.000{col 72}{space 4}-.1162244{col 85}{space 3}-.0338022
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0145495{col 44}{space 2} .0194771{col 55}{space 1}   -0.75{col 64}{space 3}0.456{col 72}{space 4}-.0529753{col 85}{space 3} .0238762
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1088143{col 44}{space 2} .0216792{col 55}{space 1}    5.02{col 64}{space 3}0.000{col 72}{space 4} .0660441{col 85}{space 3} .1515844
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5192773{col 44}{space 2} .0350195{col 55}{space 1}   14.83{col 64}{space 3}0.000{col 72}{space 4} .4501884{col 85}{space 3} .5883661
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto h2_hispaniccombo

. coefplot h2_hispaniccombo, baselevels drop(_cons) format (%12.2f) keep(0.anyhispcan  1.anyhispcan  2.anyhispcan 3.anyhispcan 4.anyhispcan 5.anyhispcan 6.anyhispcan 7.anyhispcan) headings(0.anyhispcan="{c -(}bf:Outsider Monoracials{c )-}" 1.anyhispcan="{c -(}bf: Same-Race Monoracial{c )-}" 2.anyhispcan="{c -(}bf:Same-Race Multiracials{c )-}" 5.anyhispcan="{c -(}bf: Outsider Multiracials{c )-}")
{res}
{com}. 
. *graph combine figure7_white_h2.gph figure7_black_h2.gph figure7_asian_h2.gph figure7_hisp_h2.gph

. 
. 
. *esttab h2_whitecombo h2_blackcombo h2_asiancombo h2_hispaniccombo using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Figure 7") mtitle("H2 White Rs" "H2 Black Rs" "H2 Asian Rs" "H2 Hispanic Rs") append

. 
. 
. 
. *graph combine white_dis.gph black_dis.gph asian_dis.gph his_dis.gph

. 
. 
. 
. ****Heterogeneity by IDPG/Linked Fate

. *Split all_identity at median

. summarize all_identity, detail

                        {txt}all_identity
{hline 61}
      Percentiles      Smallest
 1%    {res}       21             10
{txt} 5%    {res}       28             10
{txt}10%    {res}       33             10       {txt}Obs         {res}     15,640
{txt}25%    {res}       39             10       {txt}Sum of Wgt. {res}     15,640

{txt}50%    {res}       44                      {txt}Mean          {res} 44.80307
                        {txt}Largest       Std. Dev.     {res} 9.993519
{txt}75%    {res}       51             70
{txt}90%    {res}       58             70       {txt}Variance      {res} 99.87042
{txt}95%    {res}       62             70       {txt}Skewness      {res}-.0362053
{txt}99%    {res}       68             70       {txt}Kurtosis      {res} 3.096443

{com}. gen all_identityhi=0

. replace all_identityhi=1 if all_identity > 44 | all_identity==44
{txt}(8,460 real changes made)

{com}. 
. label define all_identityhi 1 "High Group Identity" 0 "Low Group Identity"

. label values all_identityhi all_identityhi

. 
. label define racial_linkedfate 1 "Linked Fate" 0 "No Linked Fate"

. label values racial_linkedfate racial_linkedfate

. 
. 
. 
. ***Linked fate

. reg selected i.gender b4.samerace_multi##i.racial_linkedfate i.nativity i.party i.ideology i.experience i.same_party, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}    15,708
                                                {txt}F(16, 785)        =  {res}    58.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0645
                                                {txt}Root MSE          =    {res} .48386

{txt}{ralign 96:(Std. Err. adjusted for {res:786} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0220958{col 44}{space 2} .0084116{col 55}{space 1}    2.63{col 64}{space 3}0.009{col 72}{space 4}  .005584{col 85}{space 3} .0386076
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2} .1159295{col 44}{space 2} .0278605{col 55}{space 1}    4.16{col 64}{space 3}0.000{col 72}{space 4} .0612395{col 85}{space 3} .1706195
{txt}{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2} .0943597{col 44}{space 2} .0179005{col 55}{space 1}    5.27{col 64}{space 3}0.000{col 72}{space 4} .0592212{col 85}{space 3} .1294981
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2} .0494014{col 44}{space 2} .0189513{col 55}{space 1}    2.61{col 64}{space 3}0.009{col 72}{space 4} .0122001{col 85}{space 3} .0866026
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 30} {c |}
{space 13}racial_linkedfate {c |}
{space 15}No Linked Fate  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 18}Linked Fate  {c |}{col 32}{res}{space 2} -.006617{col 44}{space 2} .0126758{col 55}{space 1}   -0.52{col 64}{space 3}0.602{col 72}{space 4}-.0314995{col 85}{space 3} .0182655
{txt}{space 30} {c |}
{space 16}samerace_multi#{c |}
{space 13}racial_linkedfate {c |}
{space 9}Same-Race Monoracial #{c |}
{space 15}No Linked Fate  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Same-Race Monoracial #{c |}
{space 18}Linked Fate  {c |}{col 32}{res}{space 2} .0462536{col 44}{space 2} .0328919{col 55}{space 1}    1.41{col 64}{space 3}0.160{col 72}{space 4} -.018313{col 85}{space 3} .1108201
{txt}{space 8}Same-Race Multiracial #{c |}
{space 15}No Linked Fate  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Same-Race Multiracial #{c |}
{space 18}Linked Fate  {c |}{col 32}{res}{space 2} .0208746{col 44}{space 2} .0216062{col 55}{space 1}    0.97{col 64}{space 3}0.334{col 72}{space 4}-.0215381{col 85}{space 3} .0632873
{txt}{space 9}Outsider Multiracial #{c |}
{space 15}No Linked Fate  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Outsider Multiracial #{c |}
{space 18}Linked Fate  {c |}{col 32}{res}{space 2}-.0248357{col 44}{space 2} .0221918{col 55}{space 1}   -1.12{col 64}{space 3}0.263{col 72}{space 4} -.068398{col 85}{space 3} .0187266
{txt}{space 10}Outsider Monoracial #{c |}
{space 15}No Linked Fate  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 10}Outsider Monoracial #{c |}
{space 18}Linked Fate  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1198428{col 44}{space 2} .0095297{col 55}{space 1}  -12.58{col 64}{space 3}0.000{col 72}{space 4}-.1385496{col 85}{space 3} -.101136
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2} -.076214{col 44}{space 2} .0126463{col 55}{space 1}   -6.03{col 64}{space 3}0.000{col 72}{space 4}-.1010386{col 85}{space 3}-.0513895
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0351885{col 44}{space 2}  .011365{col 55}{space 1}    3.10{col 64}{space 3}0.002{col 72}{space 4}  .012879{col 85}{space 3}  .057498
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0063425{col 44}{space 2} .0109505{col 55}{space 1}    0.58{col 64}{space 3}0.563{col 72}{space 4}-.0151533{col 85}{space 3} .0278384
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2} -.076344{col 44}{space 2} .0129239{col 55}{space 1}   -5.91{col 64}{space 3}0.000{col 72}{space 4}-.1017136{col 85}{space 3}-.0509744
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0716801{col 44}{space 2} .0105189{col 55}{space 1}   -6.81{col 64}{space 3}0.000{col 72}{space 4}-.0923285{col 85}{space 3}-.0510317
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0228069{col 44}{space 2} .0096411{col 55}{space 1}   -2.37{col 64}{space 3}0.018{col 72}{space 4}-.0417323{col 85}{space 3}-.0038814
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1431793{col 44}{space 2} .0105689{col 55}{space 1}   13.55{col 64}{space 3}0.000{col 72}{space 4} .1224327{col 85}{space 3} .1639259
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5212847{col 44}{space 2} .0188969{col 55}{space 1}   27.59{col 64}{space 3}0.000{col 72}{space 4} .4841901{col 85}{space 3} .5583792
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto linkedfate

. 
. **IDPG

. reg selected i.gender b4.samerace_multi##i.all_identityhi i.nativity i.party i.ideology i.experience i.same_party, allbaselevels cl(respondent)

{txt}Linear regression                               Number of obs     = {res}    15,708
                                                {txt}F(16, 785)        =  {res}    61.50
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0655
                                                {txt}Root MSE          =    {res} .48361

{txt}{ralign 96:(Std. Err. adjusted for {res:786} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 25}Male  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 23}Female  {c |}{col 32}{res}{space 2} .0224087{col 44}{space 2} .0084163{col 55}{space 1}    2.66{col 64}{space 3}0.008{col 72}{space 4} .0058876{col 85}{space 3} .0389297
{txt}{space 30} {c |}
{space 16}samerace_multi {c |}
{space 9}Same-Race Monoracial  {c |}{col 32}{res}{space 2} .0983134{col 44}{space 2}  .021701{col 55}{space 1}    4.53{col 64}{space 3}0.000{col 72}{space 4} .0557146{col 85}{space 3} .1409122
{txt}{space 8}Same-Race Multiracial  {c |}{col 32}{res}{space 2} .0662053{col 44}{space 2} .0149294{col 55}{space 1}    4.43{col 64}{space 3}0.000{col 72}{space 4} .0368991{col 85}{space 3} .0955115
{txt}{space 9}Outsider Multiracial  {c |}{col 32}{res}{space 2} .0234792{col 44}{space 2} .0145152{col 55}{space 1}    1.62{col 64}{space 3}0.106{col 72}{space 4} -.005014{col 85}{space 3} .0519724
{txt}{space 10}Outsider Monoracial  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 30} {c |}
{space 16}all_identityhi {c |}
{space 11}Low Group Identity  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 10}High Group Identity  {c |}{col 32}{res}{space 2}-.0366429{col 44}{space 2} .0116075{col 55}{space 1}   -3.16{col 64}{space 3}0.002{col 72}{space 4}-.0594282{col 85}{space 3}-.0138575
{txt}{space 30} {c |}
{space 1}samerace_multi#all_identityhi {c |}
{space 9}Same-Race Monoracial #{c |}
{space 11}Low Group Identity  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Same-Race Monoracial #{c |}
{space 10}High Group Identity  {c |}{col 32}{res}{space 2} .0936883{col 44}{space 2} .0295692{col 55}{space 1}    3.17{col 64}{space 3}0.002{col 72}{space 4} .0356443{col 85}{space 3} .1517323
{txt}{space 8}Same-Race Multiracial #{c |}
{space 11}Low Group Identity  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Same-Race Multiracial #{c |}
{space 10}High Group Identity  {c |}{col 32}{res}{space 2} .0787416{col 44}{space 2} .0200125{col 55}{space 1}    3.93{col 64}{space 3}0.000{col 72}{space 4} .0394571{col 85}{space 3}  .118026
{txt}{space 9}Outsider Multiracial #{c |}
{space 11}Low Group Identity  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 9}Outsider Multiracial #{c |}
{space 10}High Group Identity  {c |}{col 32}{res}{space 2} .0147012{col 44}{space 2}  .019827{col 55}{space 1}    0.74{col 64}{space 3}0.459{col 72}{space 4} -.024219{col 85}{space 3} .0536213
{txt}{space 10}Outsider Monoracial #{c |}
{space 11}Low Group Identity  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 10}Outsider Monoracial #{c |}
{space 10}High Group Identity  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 30} {c |}
{space 22}nativity {c |}
{space 13}Born in the U.S.  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1199869{col 44}{space 2} .0095397{col 55}{space 1}  -12.58{col 64}{space 3}0.000{col 72}{space 4}-.1387131{col 85}{space 3}-.1012606
{txt}{space 30} {c |}
{space 25}party {c |}
{space 21}Democrat  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 19}Republican  {c |}{col 32}{res}{space 2}-.0765874{col 44}{space 2} .0126477{col 55}{space 1}   -6.06{col 64}{space 3}0.000{col 72}{space 4}-.1014147{col 85}{space 3}-.0517601
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2} .0351102{col 44}{space 2} .0113665{col 55}{space 1}    3.09{col 64}{space 3}0.002{col 72}{space 4}  .012798{col 85}{space 3} .0574224
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 22}Liberal  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 21}Moderate  {c |}{col 32}{res}{space 2}  .006146{col 44}{space 2} .0109204{col 55}{space 1}    0.56{col 64}{space 3}0.574{col 72}{space 4}-.0152906{col 85}{space 3} .0275827
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0765314{col 44}{space 2} .0129138{col 55}{space 1}   -5.93{col 64}{space 3}0.000{col 72}{space 4}-.1018811{col 85}{space 3}-.0511818
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 11}Served in Congress  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0715058{col 44}{space 2} .0105227{col 55}{space 1}   -6.80{col 64}{space 3}0.000{col 72}{space 4}-.0921618{col 85}{space 3}-.0508498
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0231207{col 44}{space 2} .0096306{col 55}{space 1}   -2.40{col 64}{space 3}0.017{col 72}{space 4}-.0420255{col 85}{space 3} -.004216
{txt}{space 30} {c |}
{space 20}same_party {c |}
{space 16}Not R's Party  {c |}{col 32}{res}{space 2}        0{col 44}{txt}  (base)
{space 20}R's Party  {c |}{col 32}{res}{space 2} .1426985{col 44}{space 2} .0105881{col 55}{space 1}   13.48{col 64}{space 3}0.000{col 72}{space 4} .1219142{col 85}{space 3} .1634827
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5369458{col 44}{space 2} .0177033{col 55}{space 1}   30.33{col 64}{space 3}0.000{col 72}{space 4} .5021944{col 85}{space 3} .5716972
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto idpg

. test (_b[1.samerace_multi#1.all_identityhi] = _b[2.samerace_multi#1.all_identityhi])

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.samerace_multi#1.all_identityhi - 2.samerace_multi#1.all_identityhi = 0{p_end}

{txt}       F(  1,   785) ={res}    0.26
{txt}{col 13}Prob > F ={res}    0.6069

{com}. 
. 
. *esttab linkedfate idpg using table2_pop_round2.csv, beta plain star gaps constant ci nonumbers label nodepvars scalars(r2) wide mtitle("Linked Fate" "IDPG") replace

. 
. 
. *esttab linkedfate idpg using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("Table 2") mtitle("Linked Fate" "IDPG") append

. 
. 
. 
. 
. 
. 
. 
. *********Diagnostics

. 
. *Profile Order Effects  

. reg selected i.gender i.race##i.profile i.nativity i.party i.ideology i.experience, cl(respondent)

{txt}Linear regression                               Number of obs     = {res}    15,708
                                                {txt}F(27, 785)        =  {res}    17.26
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0401
                                                {txt}Root MSE          =    {res} .49031

{txt}{ralign 96:(Std. Err. adjusted for {res:786} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 23}Female  {c |}{col 32}{res}{space 2} .0237385{col 44}{space 2} .0084545{col 55}{space 1}    2.81{col 64}{space 3}0.005{col 72}{space 4} .0071423{col 85}{space 3} .0403346
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}Black  {c |}{col 32}{res}{space 2} .0444937{col 44}{space 2} .0257157{col 55}{space 1}    1.73{col 64}{space 3}0.084{col 72}{space 4} -.005986{col 85}{space 3} .0949735
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .0446129{col 44}{space 2} .0253265{col 55}{space 1}    1.76{col 64}{space 3}0.079{col 72}{space 4}-.0051027{col 85}{space 3} .0943285
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .0569958{col 44}{space 2} .0249353{col 55}{space 1}    2.29{col 64}{space 3}0.023{col 72}{space 4}  .008048{col 85}{space 3} .1059436
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0849963{col 44}{space 2} .0255439{col 55}{space 1}    3.33{col 64}{space 3}0.001{col 72}{space 4}  .034854{col 85}{space 3} .1351387
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0938248{col 44}{space 2} .0260851{col 55}{space 1}    3.60{col 64}{space 3}0.000{col 72}{space 4} .0426199{col 85}{space 3} .1450297
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .0650994{col 44}{space 2} .0255575{col 55}{space 1}    2.55{col 64}{space 3}0.011{col 72}{space 4} .0149303{col 85}{space 3} .1152686
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .0723829{col 44}{space 2} .0262826{col 55}{space 1}    2.75{col 64}{space 3}0.006{col 72}{space 4} .0207904{col 85}{space 3} .1239753
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0636736{col 44}{space 2}  .026036{col 55}{space 1}    2.45{col 64}{space 3}0.015{col 72}{space 4} .0125652{col 85}{space 3}  .114782
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .0894657{col 44}{space 2} .0269622{col 55}{space 1}    3.32{col 64}{space 3}0.001{col 72}{space 4} .0365392{col 85}{space 3} .1423922
{txt}{space 30} {c |}
{space 21}2.profile {c |}{col 32}{res}{space 2} .0144207{col 44}{space 2} .0256887{col 55}{space 1}    0.56{col 64}{space 3}0.575{col 72}{space 4} -.036006{col 85}{space 3} .0648475
{txt}{space 30} {c |}
{space 18}race#profile {c |}
{space 22}Black#2  {c |}{col 32}{res}{space 2}-.0410797{col 44}{space 2} .0342367{col 55}{space 1}   -1.20{col 64}{space 3}0.231{col 72}{space 4}-.1082861{col 85}{space 3} .0261266
{txt}{space 22}Asian#2  {c |}{col 32}{res}{space 2}-.0164696{col 44}{space 2}  .035055{col 55}{space 1}   -0.47{col 64}{space 3}0.639{col 72}{space 4}-.0852822{col 85}{space 3}  .052343
{txt}{space 19}Hispanic#2  {c |}{col 32}{res}{space 2}-.0643727{col 44}{space 2} .0341585{col 55}{space 1}   -1.88{col 64}{space 3}0.060{col 72}{space 4}-.1314256{col 85}{space 3} .0026802
{txt}{space 12}Black and White#2  {c |}{col 32}{res}{space 2}-.0419322{col 44}{space 2} .0345468{col 55}{space 1}   -1.21{col 64}{space 3}0.225{col 72}{space 4}-.1097473{col 85}{space 3}  .025883
{txt}{space 12}Black and Asian#2  {c |}{col 32}{res}{space 2}-.0741082{col 44}{space 2} .0353924{col 55}{space 1}   -2.09{col 64}{space 3}0.037{col 72}{space 4}-.1435831{col 85}{space 3}-.0046333
{txt}{space 9}Black and Hispanic#2  {c |}{col 32}{res}{space 2}-.0177709{col 44}{space 2} .0343682{col 55}{space 1}   -0.52{col 64}{space 3}0.605{col 72}{space 4}-.0852353{col 85}{space 3} .0496936
{txt}{space 9}Asian and Hispanic#2  {c |}{col 32}{res}{space 2}-.0361289{col 44}{space 2}  .035189{col 55}{space 1}   -1.03{col 64}{space 3}0.305{col 72}{space 4}-.1052046{col 85}{space 3} .0329468
{txt}{space 12}Asian and White#2  {c |}{col 32}{res}{space 2}-.0408667{col 44}{space 2} .0346491{col 55}{space 1}   -1.18{col 64}{space 3}0.239{col 72}{space 4}-.1088825{col 85}{space 3} .0271492
{txt}{space 9}Hispanic and White#2  {c |}{col 32}{res}{space 2} -.065347{col 44}{space 2} .0345593{col 55}{space 1}   -1.89{col 64}{space 3}0.059{col 72}{space 4}-.1331866{col 85}{space 3} .0024925
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1193782{col 44}{space 2} .0095807{col 55}{space 1}  -12.46{col 64}{space 3}0.000{col 72}{space 4} -.138185{col 85}{space 3}-.1005714
{txt}{space 30} {c |}
{space 25}party {c |}
{space 19}Republican  {c |}{col 32}{res}{space 2}-.1265094{col 44}{space 2} .0133787{col 55}{space 1}   -9.46{col 64}{space 3}0.000{col 72}{space 4}-.1527717{col 85}{space 3}-.1002472
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2}-.0103219{col 44}{space 2} .0111208{col 55}{space 1}   -0.93{col 64}{space 3}0.354{col 72}{space 4}-.0321519{col 85}{space 3} .0115081
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0044608{col 44}{space 2} .0110319{col 55}{space 1}    0.40{col 64}{space 3}0.686{col 72}{space 4}-.0171948{col 85}{space 3} .0261164
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0799872{col 44}{space 2} .0129967{col 55}{space 1}   -6.15{col 64}{space 3}0.000{col 72}{space 4}-.1054996{col 85}{space 3}-.0544748
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0684737{col 44}{space 2}  .010632{col 55}{space 1}   -6.44{col 64}{space 3}0.000{col 72}{space 4}-.0893441{col 85}{space 3}-.0476032
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2} -.021215{col 44}{space 2} .0097399{col 55}{space 1}   -2.18{col 64}{space 3}0.030{col 72}{space 4}-.0403344{col 85}{space 3}-.0020956
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5998934{col 44}{space 2} .0236737{col 55}{space 1}   25.34{col 64}{space 3}0.000{col 72}{space 4} .5534222{col 85}{space 3} .6463646
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto race_order_effects

. test 1.race#2.profile 2.race#2.profile 3.race#2.profile 4.race#2.profile 5.race#2.profile 6.race#2.profile 7.race#2.profile 8.race#2.profile 9.race#2.profile 10.race#2.profile

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1b.race#2o.profile = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} 2.race#2.profile = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} 3.race#2.profile = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} 4.race#2.profile = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} 5.race#2.profile = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} 6.race#2.profile = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} 7.race#2.profile = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} 8.race#2.profile = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} 9.race#2.profile = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} 10.race#2.profile = 0{p_end}
{txt}       Constraint 1 dropped

       F(  9,   785) ={res}    0.96
{txt}{col 13}Prob > F ={res}    0.4739

{com}. 
. *esttab race_order_effects using lemi_pop_2020.tex, longtable constant ci nonumbers label title("Race x Profile Order Effects") append

. 
. *Attribute Order Effects

. reg selected i.gender i.race##i.racerowpos i.nativity i.party i.ideology i.experience, cl(respondent)

{txt}Linear regression                               Number of obs     = {res}    15,708
                                                {txt}F(67, 785)        =  {res}     8.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0421
                                                {txt}Root MSE          =    {res} .49043

{txt}{ralign 96:(Std. Err. adjusted for {res:786} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 23}Female  {c |}{col 32}{res}{space 2} .0233433{col 44}{space 2} .0085003{col 55}{space 1}    2.75{col 64}{space 3}0.006{col 72}{space 4} .0066573{col 85}{space 3} .0400294
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}Black  {c |}{col 32}{res}{space 2} .0423056{col 44}{space 2} .0446433{col 55}{space 1}    0.95{col 64}{space 3}0.344{col 72}{space 4}-.0453288{col 85}{space 3}   .12994
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} .0272925{col 44}{space 2} .0486385{col 55}{space 1}    0.56{col 64}{space 3}0.575{col 72}{space 4}-.0681845{col 85}{space 3} .1227695
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .0834053{col 44}{space 2} .0436487{col 55}{space 1}    1.91{col 64}{space 3}0.056{col 72}{space 4}-.0022766{col 85}{space 3} .1690871
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .1464125{col 44}{space 2} .0446241{col 55}{space 1}    3.28{col 64}{space 3}0.001{col 72}{space 4} .0588159{col 85}{space 3} .2340091
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2}  .149752{col 44}{space 2} .0425937{col 55}{space 1}    3.52{col 64}{space 3}0.000{col 72}{space 4}  .066141{col 85}{space 3} .2333631
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2}  .107535{col 44}{space 2} .0448121{col 55}{space 1}    2.40{col 64}{space 3}0.017{col 72}{space 4} .0195693{col 85}{space 3} .1955007
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .0795651{col 44}{space 2} .0433782{col 55}{space 1}    1.83{col 64}{space 3}0.067{col 72}{space 4}-.0055859{col 85}{space 3} .1647161
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0678953{col 44}{space 2} .0416488{col 55}{space 1}    1.63{col 64}{space 3}0.103{col 72}{space 4}-.0138609{col 85}{space 3} .1496514
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .1168858{col 44}{space 2} .0436732{col 55}{space 1}    2.68{col 64}{space 3}0.008{col 72}{space 4} .0311558{col 85}{space 3} .2026158
{txt}{space 30} {c |}
{space 20}racerowpos {c |}
{space 28}2  {c |}{col 32}{res}{space 2} .0456635{col 44}{space 2} .0413379{col 55}{space 1}    1.10{col 64}{space 3}0.270{col 72}{space 4}-.0354825{col 85}{space 3} .1268094
{txt}{space 28}3  {c |}{col 32}{res}{space 2} .0955371{col 44}{space 2} .0478279{col 55}{space 1}    2.00{col 64}{space 3}0.046{col 72}{space 4} .0016513{col 85}{space 3} .1894228
{txt}{space 28}4  {c |}{col 32}{res}{space 2} .0600953{col 44}{space 2} .0428494{col 55}{space 1}    1.40{col 64}{space 3}0.161{col 72}{space 4}-.0240178{col 85}{space 3} .1442083
{txt}{space 28}5  {c |}{col 32}{res}{space 2} .0059771{col 44}{space 2} .0443004{col 55}{space 1}    0.13{col 64}{space 3}0.893{col 72}{space 4}-.0809842{col 85}{space 3} .0929383
{txt}{space 28}6  {c |}{col 32}{res}{space 2} .0396498{col 44}{space 2} .0441981{col 55}{space 1}    0.90{col 64}{space 3}0.370{col 72}{space 4}-.0471106{col 85}{space 3} .1264102
{txt}{space 30} {c |}
{space 15}race#racerowpos {c |}
{space 22}Black#2  {c |}{col 32}{res}{space 2} -.050648{col 44}{space 2} .0607895{col 55}{space 1}   -0.83{col 64}{space 3}0.405{col 72}{space 4}-.1699772{col 85}{space 3} .0686813
{txt}{space 22}Black#3  {c |}{col 32}{res}{space 2}-.1313195{col 44}{space 2} .0669198{col 55}{space 1}   -1.96{col 64}{space 3}0.050{col 72}{space 4}-.2626825{col 85}{space 3} .0000434
{txt}{space 22}Black#4  {c |}{col 32}{res}{space 2} .0073434{col 44}{space 2} .0631976{col 55}{space 1}    0.12{col 64}{space 3}0.908{col 72}{space 4} -.116713{col 85}{space 3} .1313997
{txt}{space 22}Black#5  {c |}{col 32}{res}{space 2} .0312771{col 44}{space 2} .0656522{col 55}{space 1}    0.48{col 64}{space 3}0.634{col 72}{space 4}-.0975976{col 85}{space 3} .1601517
{txt}{space 22}Black#6  {c |}{col 32}{res}{space 2} .0413783{col 44}{space 2} .0652516{col 55}{space 1}    0.63{col 64}{space 3}0.526{col 72}{space 4}-.0867099{col 85}{space 3} .1694664
{txt}{space 22}Asian#2  {c |}{col 32}{res}{space 2} .0376852{col 44}{space 2} .0631333{col 55}{space 1}    0.60{col 64}{space 3}0.551{col 72}{space 4}-.0862449{col 85}{space 3} .1616152
{txt}{space 22}Asian#3  {c |}{col 32}{res}{space 2}-.0075862{col 44}{space 2} .0684383{col 55}{space 1}   -0.11{col 64}{space 3}0.912{col 72}{space 4}-.1419299{col 85}{space 3} .1267575
{txt}{space 22}Asian#4  {c |}{col 32}{res}{space 2}   .00113{col 44}{space 2} .0652283{col 55}{space 1}    0.02{col 64}{space 3}0.986{col 72}{space 4}-.1269125{col 85}{space 3} .1291725
{txt}{space 22}Asian#5  {c |}{col 32}{res}{space 2} .0102334{col 44}{space 2} .0648464{col 55}{space 1}    0.16{col 64}{space 3}0.875{col 72}{space 4}-.1170595{col 85}{space 3} .1375263
{txt}{space 22}Asian#6  {c |}{col 32}{res}{space 2} .0037816{col 44}{space 2} .0682092{col 55}{space 1}    0.06{col 64}{space 3}0.956{col 72}{space 4}-.1301123{col 85}{space 3} .1376756
{txt}{space 19}Hispanic#2  {c |}{col 32}{res}{space 2} -.062266{col 44}{space 2} .0596622{col 55}{space 1}   -1.04{col 64}{space 3}0.297{col 72}{space 4}-.1793823{col 85}{space 3} .0548504
{txt}{space 19}Hispanic#3  {c |}{col 32}{res}{space 2}-.1211296{col 44}{space 2}  .067327{col 55}{space 1}   -1.80{col 64}{space 3}0.072{col 72}{space 4}-.2532919{col 85}{space 3} .0110327
{txt}{space 19}Hispanic#4  {c |}{col 32}{res}{space 2}-.0937934{col 44}{space 2} .0579851{col 55}{space 1}   -1.62{col 64}{space 3}0.106{col 72}{space 4}-.2076177{col 85}{space 3} .0200309
{txt}{space 19}Hispanic#5  {c |}{col 32}{res}{space 2}    .0116{col 44}{space 2} .0611365{col 55}{space 1}    0.19{col 64}{space 3}0.850{col 72}{space 4}-.1084103{col 85}{space 3} .1316103
{txt}{space 19}Hispanic#6  {c |}{col 32}{res}{space 2}-.0965413{col 44}{space 2} .0622995{col 55}{space 1}   -1.55{col 64}{space 3}0.122{col 72}{space 4}-.2188345{col 85}{space 3}  .025752
{txt}{space 12}Black and White#2  {c |}{col 32}{res}{space 2}-.1202032{col 44}{space 2} .0617455{col 55}{space 1}   -1.95{col 64}{space 3}0.052{col 72}{space 4}-.2414091{col 85}{space 3} .0010028
{txt}{space 12}Black and White#3  {c |}{col 32}{res}{space 2}-.1188742{col 44}{space 2}  .067623{col 55}{space 1}   -1.76{col 64}{space 3}0.079{col 72}{space 4}-.2516176{col 85}{space 3} .0138691
{txt}{space 12}Black and White#4  {c |}{col 32}{res}{space 2}-.1091897{col 44}{space 2} .0613129{col 55}{space 1}   -1.78{col 64}{space 3}0.075{col 72}{space 4}-.2295464{col 85}{space 3} .0111669
{txt}{space 12}Black and White#5  {c |}{col 32}{res}{space 2}-.0701873{col 44}{space 2} .0612148{col 55}{space 1}   -1.15{col 64}{space 3}0.252{col 72}{space 4}-.1903514{col 85}{space 3} .0499767
{txt}{space 12}Black and White#6  {c |}{col 32}{res}{space 2} -.085441{col 44}{space 2} .0647764{col 55}{space 1}   -1.32{col 64}{space 3}0.188{col 72}{space 4}-.2125965{col 85}{space 3} .0417145
{txt}{space 12}Black and Asian#2  {c |}{col 32}{res}{space 2}-.1253504{col 44}{space 2} .0598321{col 55}{space 1}   -2.10{col 64}{space 3}0.036{col 72}{space 4}-.2428003{col 85}{space 3}-.0079006
{txt}{space 12}Black and Asian#3  {c |}{col 32}{res}{space 2}-.1604173{col 44}{space 2} .0665605{col 55}{space 1}   -2.41{col 64}{space 3}0.016{col 72}{space 4} -.291075{col 85}{space 3}-.0297596
{txt}{space 12}Black and Asian#4  {c |}{col 32}{res}{space 2} -.114235{col 44}{space 2} .0608359{col 55}{space 1}   -1.88{col 64}{space 3}0.061{col 72}{space 4}-.2336553{col 85}{space 3} .0051852
{txt}{space 12}Black and Asian#5  {c |}{col 32}{res}{space 2}-.0640155{col 44}{space 2} .0612315{col 55}{space 1}   -1.05{col 64}{space 3}0.296{col 72}{space 4}-.1842122{col 85}{space 3} .0561813
{txt}{space 12}Black and Asian#6  {c |}{col 32}{res}{space 2}-.1114028{col 44}{space 2} .0648855{col 55}{space 1}   -1.72{col 64}{space 3}0.086{col 72}{space 4}-.2387723{col 85}{space 3} .0159668
{txt}{space 9}Black and Hispanic#2  {c |}{col 32}{res}{space 2}-.0226416{col 44}{space 2}   .06425{col 55}{space 1}   -0.35{col 64}{space 3}0.725{col 72}{space 4}-.1487638{col 85}{space 3} .1034805
{txt}{space 9}Black and Hispanic#3  {c |}{col 32}{res}{space 2}-.1265474{col 44}{space 2} .0671836{col 55}{space 1}   -1.88{col 64}{space 3}0.060{col 72}{space 4}-.2584281{col 85}{space 3} .0053333
{txt}{space 9}Black and Hispanic#4  {c |}{col 32}{res}{space 2}-.0592989{col 44}{space 2} .0639781{col 55}{space 1}   -0.93{col 64}{space 3}0.354{col 72}{space 4}-.1848872{col 85}{space 3} .0662894
{txt}{space 9}Black and Hispanic#5  {c |}{col 32}{res}{space 2}-.0714124{col 44}{space 2} .0634169{col 55}{space 1}   -1.13{col 64}{space 3}0.260{col 72}{space 4}-.1958993{col 85}{space 3} .0530744
{txt}{space 9}Black and Hispanic#6  {c |}{col 32}{res}{space 2}-.0321272{col 44}{space 2} .0647339{col 55}{space 1}   -0.50{col 64}{space 3}0.620{col 72}{space 4}-.1591991{col 85}{space 3} .0949448
{txt}{space 9}Asian and Hispanic#2  {c |}{col 32}{res}{space 2}-.0299527{col 44}{space 2} .0650358{col 55}{space 1}   -0.46{col 64}{space 3}0.645{col 72}{space 4}-.1576174{col 85}{space 3} .0977119
{txt}{space 9}Asian and Hispanic#3  {c |}{col 32}{res}{space 2}-.0684792{col 44}{space 2} .0652766{col 55}{space 1}   -1.05{col 64}{space 3}0.294{col 72}{space 4}-.1966166{col 85}{space 3} .0596582
{txt}{space 9}Asian and Hispanic#4  {c |}{col 32}{res}{space 2}-.0649649{col 44}{space 2} .0634049{col 55}{space 1}   -1.02{col 64}{space 3}0.306{col 72}{space 4}-.1894282{col 85}{space 3} .0594984
{txt}{space 9}Asian and Hispanic#5  {c |}{col 32}{res}{space 2}  .066082{col 44}{space 2} .0652082{col 55}{space 1}    1.01{col 64}{space 3}0.311{col 72}{space 4} -.061921{col 85}{space 3}  .194085
{txt}{space 9}Asian and Hispanic#6  {c |}{col 32}{res}{space 2}-.0568568{col 44}{space 2} .0624279{col 55}{space 1}   -0.91{col 64}{space 3}0.363{col 72}{space 4}-.1794021{col 85}{space 3} .0656885
{txt}{space 12}Asian and White#2  {c |}{col 32}{res}{space 2}-.0144495{col 44}{space 2} .0582797{col 55}{space 1}   -0.25{col 64}{space 3}0.804{col 72}{space 4}-.1288521{col 85}{space 3}  .099953
{txt}{space 12}Asian and White#3  {c |}{col 32}{res}{space 2}-.0762266{col 44}{space 2} .0644124{col 55}{space 1}   -1.18{col 64}{space 3}0.237{col 72}{space 4}-.2026676{col 85}{space 3} .0502143
{txt}{space 12}Asian and White#4  {c |}{col 32}{res}{space 2}-.0646689{col 44}{space 2} .0610303{col 55}{space 1}   -1.06{col 64}{space 3}0.290{col 72}{space 4}-.1844709{col 85}{space 3} .0551331
{txt}{space 12}Asian and White#5  {c |}{col 32}{res}{space 2} .0235294{col 44}{space 2} .0608165{col 55}{space 1}    0.39{col 64}{space 3}0.699{col 72}{space 4}-.0958529{col 85}{space 3} .1429116
{txt}{space 12}Asian and White#6  {c |}{col 32}{res}{space 2}-.0190259{col 44}{space 2} .0637843{col 55}{space 1}   -0.30{col 64}{space 3}0.766{col 72}{space 4}-.1442338{col 85}{space 3} .1061821
{txt}{space 9}Hispanic and White#2  {c |}{col 32}{res}{space 2}-.0791877{col 44}{space 2} .0617281{col 55}{space 1}   -1.28{col 64}{space 3}0.200{col 72}{space 4}-.2003594{col 85}{space 3}  .041984
{txt}{space 9}Hispanic and White#3  {c |}{col 32}{res}{space 2}-.1073911{col 44}{space 2}  .068727{col 55}{space 1}   -1.56{col 64}{space 3}0.119{col 72}{space 4}-.2423016{col 85}{space 3} .0275194
{txt}{space 9}Hispanic and White#4  {c |}{col 32}{res}{space 2}-.0745292{col 44}{space 2} .0633779{col 55}{space 1}   -1.18{col 64}{space 3}0.240{col 72}{space 4}-.1989395{col 85}{space 3} .0498811
{txt}{space 9}Hispanic and White#5  {c |}{col 32}{res}{space 2}-.0538265{col 44}{space 2} .0623738{col 55}{space 1}   -0.86{col 64}{space 3}0.388{col 72}{space 4}-.1762658{col 85}{space 3} .0686127
{txt}{space 9}Hispanic and White#6  {c |}{col 32}{res}{space 2}-.0617204{col 44}{space 2} .0646026{col 55}{space 1}   -0.96{col 64}{space 3}0.340{col 72}{space 4}-.1885347{col 85}{space 3}  .065094
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1196804{col 44}{space 2} .0095866{col 55}{space 1}  -12.48{col 64}{space 3}0.000{col 72}{space 4}-.1384988{col 85}{space 3}-.1008621
{txt}{space 30} {c |}
{space 25}party {c |}
{space 19}Republican  {c |}{col 32}{res}{space 2}-.1268068{col 44}{space 2} .0133741{col 55}{space 1}   -9.48{col 64}{space 3}0.000{col 72}{space 4}-.1530601{col 85}{space 3}-.1005535
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2}-.0105549{col 44}{space 2} .0111673{col 55}{space 1}   -0.95{col 64}{space 3}0.345{col 72}{space 4}-.0324762{col 85}{space 3} .0113665
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0039791{col 44}{space 2}  .011059{col 55}{space 1}    0.36{col 64}{space 3}0.719{col 72}{space 4}-.0177295{col 85}{space 3} .0256878
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0803385{col 44}{space 2}  .012988{col 55}{space 1}   -6.19{col 64}{space 3}0.000{col 72}{space 4}-.1058339{col 85}{space 3}-.0548431
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0690904{col 44}{space 2} .0106521{col 55}{space 1}   -6.49{col 64}{space 3}0.000{col 72}{space 4}-.0900003{col 85}{space 3}-.0481804
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0218873{col 44}{space 2} .0097082{col 55}{space 1}   -2.25{col 64}{space 3}0.024{col 72}{space 4}-.0409444{col 85}{space 3}-.0028301
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .5684442{col 44}{space 2} .0342591{col 55}{space 1}   16.59{col 64}{space 3}0.000{col 72}{space 4} .5011939{col 85}{space 3} .6356945
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto attribute_order_effects

. 
. test 2.race#2.racerowpos 2.race#3.racerowpos 2.race#4.racerowpos 2.race#5.racerowpos 2.race#6.racerowpos 3.race#2.racerowpos 3.race#3.racerowpos 3.race#4.racerowpos 3.race#5.racerowpos 3.race#6.racerowpos 4.race#2.racerowpos 4.race#3.racerowpos 4.race#4.racerowpos 4.race#5.racerowpos 4.race#6.racerowpos  5.race#2.racerowpos 5.race#3.racerowpos 5.race#4.racerowpos 5.race#5.racerowpos 5.race#6.racerowpos 6.race#2.racerowpos 6.race#3.racerowpos 6.race#4.racerowpos 6.race#5.racerowpos 6.race#6.racerowpos 7.race#2.racerowpos 7.race#3.racerowpos 7.race#4.racerowpos 7.race#5.racerowpos 7.race#6.racerowpos 8.race#2.racerowpos 8.race#3.racerowpos 8.race#4.racerowpos 8.race#5.racerowpos 8.race#6.racerowpos 9.race#2.racerowpos 9.race#3.racerowpos 9.race#4.racerowpos 9.race#5.racerowpos 9.race#6.racerowpos  10.race#2.racerowpos 10.race#3.racerowpos 10.race#4.racerowpos 10.race#5.racerowpos 10.race#6.racerowpos  

{p 0 7}{space 1}{text:( 1)}{space 1} {res}2.race#2.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} 2.race#3.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} 2.race#4.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} 2.race#5.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} 2.race#6.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} 3.race#2.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} 3.race#3.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} 3.race#4.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} 3.race#5.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} 3.race#6.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} 4.race#2.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} 4.race#3.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} 4.race#4.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} 4.race#5.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} 4.race#6.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} 5.race#2.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} 5.race#3.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(18)}{space 1} 5.race#4.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(19)}{space 1} 5.race#5.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(20)}{space 1} 5.race#6.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(21)}{space 1} 6.race#2.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(22)}{space 1} 6.race#3.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(23)}{space 1} 6.race#4.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(24)}{space 1} 6.race#5.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(25)}{space 1} 6.race#6.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(26)}{space 1} 7.race#2.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(27)}{space 1} 7.race#3.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(28)}{space 1} 7.race#4.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(29)}{space 1} 7.race#5.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(30)}{space 1} 7.race#6.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(31)}{space 1} 8.race#2.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(32)}{space 1} 8.race#3.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(33)}{space 1} 8.race#4.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(34)}{space 1} 8.race#5.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(35)}{space 1} 8.race#6.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(36)}{space 1} 9.race#2.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(37)}{space 1} 9.race#3.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(38)}{space 1} 9.race#4.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(39)}{space 1} 9.race#5.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(40)}{space 1} 9.race#6.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(41)}{space 1} 10.race#2.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(42)}{space 1} 10.race#3.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(43)}{space 1} 10.race#4.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(44)}{space 1} 10.race#5.racerowpos = 0{p_end}
{p 0 7}{space 1}{text:(45)}{space 1} 10.race#6.racerowpos = 0{p_end}

{txt}       F( 45,   785) ={res}    1.24
{txt}{col 13}Prob > F ={res}    0.1401

{com}. 
. *esttab attribute_order_effects using lemi_pop_2020.tex, longtable constant ci nonumbers label title("Race x Row Position Effects") append

. 
. *Task Effects

. reg selected i.gender i.race##i.task i.nativity i.party i.ideology i.experience, cl(respondent)

{txt}Linear regression                               Number of obs     = {res}    15,708
                                                {txt}F(107, 785)       =  {res}     5.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0432
                                                {txt}Root MSE          =    {res} .49076

{txt}{ralign 96:(Std. Err. adjusted for {res:786} clusters in respondent)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      selected{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}gender {c |}
{space 23}Female  {c |}{col 32}{res}{space 2}  .023529{col 44}{space 2} .0084942{col 55}{space 1}    2.77{col 64}{space 3}0.006{col 72}{space 4}  .006855{col 85}{space 3}  .040203
{txt}{space 30} {c |}
{space 26}race {c |}
{space 24}Black  {c |}{col 32}{res}{space 2} .0376157{col 44}{space 2} .0539204{col 55}{space 1}    0.70{col 64}{space 3}0.486{col 72}{space 4}-.0682294{col 85}{space 3} .1434609
{txt}{space 24}Asian  {c |}{col 32}{res}{space 2} -.039641{col 44}{space 2} .0550746{col 55}{space 1}   -0.72{col 64}{space 3}0.472{col 72}{space 4}-.1477519{col 85}{space 3} .0684698
{txt}{space 21}Hispanic  {c |}{col 32}{res}{space 2} .0268258{col 44}{space 2} .0599777{col 55}{space 1}    0.45{col 64}{space 3}0.655{col 72}{space 4}-.0909099{col 85}{space 3} .1445616
{txt}{space 14}Black and White  {c |}{col 32}{res}{space 2} .0141499{col 44}{space 2} .0567509{col 55}{space 1}    0.25{col 64}{space 3}0.803{col 72}{space 4}-.0972515{col 85}{space 3} .1255514
{txt}{space 14}Black and Asian  {c |}{col 32}{res}{space 2} .0411786{col 44}{space 2} .0548979{col 55}{space 1}    0.75{col 64}{space 3}0.453{col 72}{space 4}-.0665856{col 85}{space 3} .1489427
{txt}{space 11}Black and Hispanic  {c |}{col 32}{res}{space 2} .0810113{col 44}{space 2} .0577483{col 55}{space 1}    1.40{col 64}{space 3}0.161{col 72}{space 4}-.0323482{col 85}{space 3} .1943707
{txt}{space 11}Asian and Hispanic  {c |}{col 32}{res}{space 2} .0866002{col 44}{space 2} .0568971{col 55}{space 1}    1.52{col 64}{space 3}0.128{col 72}{space 4}-.0250883{col 85}{space 3} .1982887
{txt}{space 14}Asian and White  {c |}{col 32}{res}{space 2} .0012339{col 44}{space 2} .0574163{col 55}{space 1}    0.02{col 64}{space 3}0.983{col 72}{space 4}-.1114739{col 85}{space 3} .1139416
{txt}{space 11}Hispanic and White  {c |}{col 32}{res}{space 2} .0170259{col 44}{space 2} .0595178{col 55}{space 1}    0.29{col 64}{space 3}0.775{col 72}{space 4} -.099807{col 85}{space 3} .1338589
{txt}{space 30} {c |}
{space 26}task {c |}
{space 28}2  {c |}{col 32}{res}{space 2}-.0515751{col 44}{space 2} .0513519{col 55}{space 1}   -1.00{col 64}{space 3}0.316{col 72}{space 4}-.1523784{col 85}{space 3} .0492282
{txt}{space 28}3  {c |}{col 32}{res}{space 2}-.0298291{col 44}{space 2} .0516339{col 55}{space 1}   -0.58{col 64}{space 3}0.564{col 72}{space 4} -.131186{col 85}{space 3} .0715278
{txt}{space 28}4  {c |}{col 32}{res}{space 2}-.0690281{col 44}{space 2} .0539505{col 55}{space 1}   -1.28{col 64}{space 3}0.201{col 72}{space 4}-.1749325{col 85}{space 3} .0368763
{txt}{space 28}5  {c |}{col 32}{res}{space 2}-.0006385{col 44}{space 2} .0530049{col 55}{space 1}   -0.01{col 64}{space 3}0.990{col 72}{space 4}-.1046865{col 85}{space 3} .1034096
{txt}{space 28}6  {c |}{col 32}{res}{space 2} -.002614{col 44}{space 2} .0535432{col 55}{space 1}   -0.05{col 64}{space 3}0.961{col 72}{space 4}-.1077188{col 85}{space 3} .1024908
{txt}{space 28}7  {c |}{col 32}{res}{space 2} .0131035{col 44}{space 2} .0535911{col 55}{space 1}    0.24{col 64}{space 3}0.807{col 72}{space 4}-.0920953{col 85}{space 3} .1183023
{txt}{space 28}8  {c |}{col 32}{res}{space 2}-.0167556{col 44}{space 2} .0544929{col 55}{space 1}   -0.31{col 64}{space 3}0.759{col 72}{space 4}-.1237245{col 85}{space 3} .0902134
{txt}{space 28}9  {c |}{col 32}{res}{space 2} .0424687{col 44}{space 2} .0545114{col 55}{space 1}    0.78{col 64}{space 3}0.436{col 72}{space 4}-.0645366{col 85}{space 3}  .149474
{txt}{space 27}10  {c |}{col 32}{res}{space 2} .0015106{col 44}{space 2} .0528798{col 55}{space 1}    0.03{col 64}{space 3}0.977{col 72}{space 4} -.102292{col 85}{space 3} .1053132
{txt}{space 30} {c |}
{space 21}race#task {c |}
{space 21}Black# 2  {c |}{col 32}{res}{space 2} .0518903{col 44}{space 2} .0767028{col 55}{space 1}    0.68{col 64}{space 3}0.499{col 72}{space 4}-.0986766{col 85}{space 3} .2024572
{txt}{space 21}Black# 3  {c |}{col 32}{res}{space 2} .0113444{col 44}{space 2} .0752938{col 55}{space 1}    0.15{col 64}{space 3}0.880{col 72}{space 4}-.1364566{col 85}{space 3} .1591453
{txt}{space 21}Black# 4  {c |}{col 32}{res}{space 2} .0066077{col 44}{space 2} .0761984{col 55}{space 1}    0.09{col 64}{space 3}0.931{col 72}{space 4} -.142969{col 85}{space 3} .1561844
{txt}{space 21}Black# 5  {c |}{col 32}{res}{space 2}-.0748552{col 44}{space 2} .0746648{col 55}{space 1}   -1.00{col 64}{space 3}0.316{col 72}{space 4}-.2214216{col 85}{space 3} .0717111
{txt}{space 21}Black# 6  {c |}{col 32}{res}{space 2}-.0363668{col 44}{space 2} .0740187{col 55}{space 1}   -0.49{col 64}{space 3}0.623{col 72}{space 4}-.1816648{col 85}{space 3} .1089312
{txt}{space 21}Black# 7  {c |}{col 32}{res}{space 2}-.0415647{col 44}{space 2} .0753855{col 55}{space 1}   -0.55{col 64}{space 3}0.582{col 72}{space 4}-.1895457{col 85}{space 3} .1064163
{txt}{space 21}Black# 8  {c |}{col 32}{res}{space 2} .0479119{col 44}{space 2} .0791241{col 55}{space 1}    0.61{col 64}{space 3}0.545{col 72}{space 4}-.1074081{col 85}{space 3} .2032318
{txt}{space 21}Black# 9  {c |}{col 32}{res}{space 2}-.0503883{col 44}{space 2} .0774485{col 55}{space 1}   -0.65{col 64}{space 3}0.515{col 72}{space 4}-.2024191{col 85}{space 3} .1016424
{txt}{space 21}Black#10  {c |}{col 32}{res}{space 2}-.0513154{col 44}{space 2} .0772146{col 55}{space 1}   -0.66{col 64}{space 3}0.507{col 72}{space 4}-.2028868{col 85}{space 3} .1002561
{txt}{space 21}Asian# 2  {c |}{col 32}{res}{space 2} .0864519{col 44}{space 2} .0737682{col 55}{space 1}    1.17{col 64}{space 3}0.242{col 72}{space 4}-.0583543{col 85}{space 3} .2312581
{txt}{space 21}Asian# 3  {c |}{col 32}{res}{space 2} .1278058{col 44}{space 2} .0753881{col 55}{space 1}    1.70{col 64}{space 3}0.090{col 72}{space 4}-.0201804{col 85}{space 3}  .275792
{txt}{space 21}Asian# 4  {c |}{col 32}{res}{space 2} .2527401{col 44}{space 2} .0774001{col 55}{space 1}    3.27{col 64}{space 3}0.001{col 72}{space 4} .1008044{col 85}{space 3} .4046758
{txt}{space 21}Asian# 5  {c |}{col 32}{res}{space 2} .0291029{col 44}{space 2} .0770512{col 55}{space 1}    0.38{col 64}{space 3}0.706{col 72}{space 4}-.1221478{col 85}{space 3} .1803536
{txt}{space 21}Asian# 6  {c |}{col 32}{res}{space 2} .0415188{col 44}{space 2} .0780282{col 55}{space 1}    0.53{col 64}{space 3}0.595{col 72}{space 4}-.1116499{col 85}{space 3} .1946874
{txt}{space 21}Asian# 7  {c |}{col 32}{res}{space 2}  .039322{col 44}{space 2} .0773239{col 55}{space 1}    0.51{col 64}{space 3}0.611{col 72}{space 4}-.1124641{col 85}{space 3} .1911082
{txt}{space 21}Asian# 8  {c |}{col 32}{res}{space 2} .0588878{col 44}{space 2}  .079237{col 55}{space 1}    0.74{col 64}{space 3}0.458{col 72}{space 4}-.0966537{col 85}{space 3} .2144294
{txt}{space 21}Asian# 9  {c |}{col 32}{res}{space 2} .0043042{col 44}{space 2} .0781611{col 55}{space 1}    0.06{col 64}{space 3}0.956{col 72}{space 4}-.1491254{col 85}{space 3} .1577337
{txt}{space 21}Asian#10  {c |}{col 32}{res}{space 2} .1175643{col 44}{space 2} .0803976{col 55}{space 1}    1.46{col 64}{space 3}0.144{col 72}{space 4}-.0402554{col 85}{space 3}  .275384
{txt}{space 18}Hispanic# 2  {c |}{col 32}{res}{space 2}  .084653{col 44}{space 2} .0770067{col 55}{space 1}    1.10{col 64}{space 3}0.272{col 72}{space 4}-.0665105{col 85}{space 3} .2358166
{txt}{space 18}Hispanic# 3  {c |}{col 32}{res}{space 2}  .010445{col 44}{space 2} .0810333{col 55}{space 1}    0.13{col 64}{space 3}0.897{col 72}{space 4}-.1486225{col 85}{space 3} .1695125
{txt}{space 18}Hispanic# 4  {c |}{col 32}{res}{space 2} .0451535{col 44}{space 2} .0799497{col 55}{space 1}    0.56{col 64}{space 3}0.572{col 72}{space 4}-.1117871{col 85}{space 3} .2020941
{txt}{space 18}Hispanic# 5  {c |}{col 32}{res}{space 2}-.0486099{col 44}{space 2} .0839548{col 55}{space 1}   -0.58{col 64}{space 3}0.563{col 72}{space 4}-.2134124{col 85}{space 3} .1161927
{txt}{space 18}Hispanic# 6  {c |}{col 32}{res}{space 2}-.0430195{col 44}{space 2} .0808694{col 55}{space 1}   -0.53{col 64}{space 3}0.595{col 72}{space 4}-.2017654{col 85}{space 3} .1157264
{txt}{space 18}Hispanic# 7  {c |}{col 32}{res}{space 2} .0065302{col 44}{space 2} .0801418{col 55}{space 1}    0.08{col 64}{space 3}0.935{col 72}{space 4}-.1507875{col 85}{space 3} .1638479
{txt}{space 18}Hispanic# 8  {c |}{col 32}{res}{space 2} .0039041{col 44}{space 2} .0813627{col 55}{space 1}    0.05{col 64}{space 3}0.962{col 72}{space 4}  -.15581{col 85}{space 3} .1636183
{txt}{space 18}Hispanic# 9  {c |}{col 32}{res}{space 2}-.0717463{col 44}{space 2}  .079956{col 55}{space 1}   -0.90{col 64}{space 3}0.370{col 72}{space 4}-.2286991{col 85}{space 3} .0852066
{txt}{space 18}Hispanic#10  {c |}{col 32}{res}{space 2}-.0180378{col 44}{space 2} .0817343{col 55}{space 1}   -0.22{col 64}{space 3}0.825{col 72}{space 4}-.1784815{col 85}{space 3} .1424059
{txt}{space 11}Black and White# 2  {c |}{col 32}{res}{space 2} .0258766{col 44}{space 2} .0762561{col 55}{space 1}    0.34{col 64}{space 3}0.734{col 72}{space 4}-.1238134{col 85}{space 3} .1755665
{txt}{space 11}Black and White# 3  {c |}{col 32}{res}{space 2} .0563586{col 44}{space 2} .0773227{col 55}{space 1}    0.73{col 64}{space 3}0.466{col 72}{space 4}-.0954251{col 85}{space 3} .2081423
{txt}{space 11}Black and White# 4  {c |}{col 32}{res}{space 2} .1579602{col 44}{space 2} .0759595{col 55}{space 1}    2.08{col 64}{space 3}0.038{col 72}{space 4} .0088525{col 85}{space 3}  .307068
{txt}{space 11}Black and White# 5  {c |}{col 32}{res}{space 2} .1110873{col 44}{space 2} .0791283{col 55}{space 1}    1.40{col 64}{space 3}0.161{col 72}{space 4}-.0442408{col 85}{space 3} .2664154
{txt}{space 11}Black and White# 6  {c |}{col 32}{res}{space 2} .0509157{col 44}{space 2} .0789862{col 55}{space 1}    0.64{col 64}{space 3}0.519{col 72}{space 4}-.1041335{col 85}{space 3} .2059649
{txt}{space 11}Black and White# 7  {c |}{col 32}{res}{space 2} .0527784{col 44}{space 2} .0794597{col 55}{space 1}    0.66{col 64}{space 3}0.507{col 72}{space 4}-.1032002{col 85}{space 3}  .208757
{txt}{space 11}Black and White# 8  {c |}{col 32}{res}{space 2} .0365202{col 44}{space 2} .0791873{col 55}{space 1}    0.46{col 64}{space 3}0.645{col 72}{space 4}-.1189238{col 85}{space 3} .1919642
{txt}{space 11}Black and White# 9  {c |}{col 32}{res}{space 2} .0045749{col 44}{space 2} .0809848{col 55}{space 1}    0.06{col 64}{space 3}0.955{col 72}{space 4}-.1543976{col 85}{space 3} .1635474
{txt}{space 11}Black and White#10  {c |}{col 32}{res}{space 2} .0031956{col 44}{space 2} .0770777{col 55}{space 1}    0.04{col 64}{space 3}0.967{col 72}{space 4}-.1481072{col 85}{space 3} .1544984
{txt}{space 11}Black and Asian# 2  {c |}{col 32}{res}{space 2} .0342339{col 44}{space 2} .0781372{col 55}{space 1}    0.44{col 64}{space 3}0.661{col 72}{space 4}-.1191487{col 85}{space 3} .1876165
{txt}{space 11}Black and Asian# 3  {c |}{col 32}{res}{space 2} .0249179{col 44}{space 2} .0749138{col 55}{space 1}    0.33{col 64}{space 3}0.740{col 72}{space 4}-.1221372{col 85}{space 3}  .171973
{txt}{space 11}Black and Asian# 4  {c |}{col 32}{res}{space 2} .0605176{col 44}{space 2} .0789279{col 55}{space 1}    0.77{col 64}{space 3}0.443{col 72}{space 4}-.0944171{col 85}{space 3} .2154523
{txt}{space 11}Black and Asian# 5  {c |}{col 32}{res}{space 2}-.0193545{col 44}{space 2} .0746636{col 55}{space 1}   -0.26{col 64}{space 3}0.796{col 72}{space 4}-.1659185{col 85}{space 3} .1272094
{txt}{space 11}Black and Asian# 6  {c |}{col 32}{res}{space 2} .0378436{col 44}{space 2} .0751842{col 55}{space 1}    0.50{col 64}{space 3}0.615{col 72}{space 4}-.1097423{col 85}{space 3} .1854294
{txt}{space 11}Black and Asian# 7  {c |}{col 32}{res}{space 2}  -.00565{col 44}{space 2} .0767509{col 55}{space 1}   -0.07{col 64}{space 3}0.941{col 72}{space 4}-.1563113{col 85}{space 3} .1450113
{txt}{space 11}Black and Asian# 8  {c |}{col 32}{res}{space 2} .0722682{col 44}{space 2} .0775127{col 55}{space 1}    0.93{col 64}{space 3}0.351{col 72}{space 4}-.0798885{col 85}{space 3} .2244249
{txt}{space 11}Black and Asian# 9  {c |}{col 32}{res}{space 2}-.0773313{col 44}{space 2}  .078321{col 55}{space 1}   -0.99{col 64}{space 3}0.324{col 72}{space 4}-.2310746{col 85}{space 3} .0764121
{txt}{space 11}Black and Asian#10  {c |}{col 32}{res}{space 2} .0334038{col 44}{space 2}   .07895{col 55}{space 1}    0.42{col 64}{space 3}0.672{col 72}{space 4}-.1215744{col 85}{space 3} .1883819
{txt}{space 8}Black and Hispanic# 2  {c |}{col 32}{res}{space 2} .0723984{col 44}{space 2} .0783734{col 55}{space 1}    0.92{col 64}{space 3}0.356{col 72}{space 4}-.0814479{col 85}{space 3} .2262447
{txt}{space 8}Black and Hispanic# 3  {c |}{col 32}{res}{space 2}-.0098794{col 44}{space 2} .0807284{col 55}{space 1}   -0.12{col 64}{space 3}0.903{col 72}{space 4}-.1683484{col 85}{space 3} .1485897
{txt}{space 8}Black and Hispanic# 4  {c |}{col 32}{res}{space 2}-.0177622{col 44}{space 2} .0806687{col 55}{space 1}   -0.22{col 64}{space 3}0.826{col 72}{space 4}-.1761141{col 85}{space 3} .1405897
{txt}{space 8}Black and Hispanic# 5  {c |}{col 32}{res}{space 2} -.005189{col 44}{space 2} .0760144{col 55}{space 1}   -0.07{col 64}{space 3}0.946{col 72}{space 4}-.1544047{col 85}{space 3} .1440266
{txt}{space 8}Black and Hispanic# 6  {c |}{col 32}{res}{space 2}-.0478844{col 44}{space 2} .0810678{col 55}{space 1}   -0.59{col 64}{space 3}0.555{col 72}{space 4}-.2070197{col 85}{space 3} .1112509
{txt}{space 8}Black and Hispanic# 7  {c |}{col 32}{res}{space 2}-.0873872{col 44}{space 2} .0816098{col 55}{space 1}   -1.07{col 64}{space 3}0.285{col 72}{space 4}-.2475865{col 85}{space 3} .0728122
{txt}{space 8}Black and Hispanic# 8  {c |}{col 32}{res}{space 2}-.0565655{col 44}{space 2} .0783537{col 55}{space 1}   -0.72{col 64}{space 3}0.471{col 72}{space 4} -.210373{col 85}{space 3}  .097242
{txt}{space 8}Black and Hispanic# 9  {c |}{col 32}{res}{space 2}-.0724164{col 44}{space 2} .0804056{col 55}{space 1}   -0.90{col 64}{space 3}0.368{col 72}{space 4}-.2302518{col 85}{space 3}  .085419
{txt}{space 8}Black and Hispanic#10  {c |}{col 32}{res}{space 2}-.0329221{col 44}{space 2} .0782507{col 55}{space 1}   -0.42{col 64}{space 3}0.674{col 72}{space 4}-.1865275{col 85}{space 3} .1206834
{txt}{space 8}Asian and Hispanic# 2  {c |}{col 32}{res}{space 2} .0364916{col 44}{space 2} .0759043{col 55}{space 1}    0.48{col 64}{space 3}0.631{col 72}{space 4}-.1125078{col 85}{space 3} .1854909
{txt}{space 8}Asian and Hispanic# 3  {c |}{col 32}{res}{space 2}-.0448177{col 44}{space 2}  .078153{col 55}{space 1}   -0.57{col 64}{space 3}0.566{col 72}{space 4}-.1982313{col 85}{space 3}  .108596
{txt}{space 8}Asian and Hispanic# 4  {c |}{col 32}{res}{space 2}-.0096985{col 44}{space 2} .0765822{col 55}{space 1}   -0.13{col 64}{space 3}0.899{col 72}{space 4}-.1600287{col 85}{space 3} .1406317
{txt}{space 8}Asian and Hispanic# 5  {c |}{col 32}{res}{space 2}-.0349733{col 44}{space 2} .0788526{col 55}{space 1}   -0.44{col 64}{space 3}0.658{col 72}{space 4}-.1897601{col 85}{space 3} .1198135
{txt}{space 8}Asian and Hispanic# 6  {c |}{col 32}{res}{space 2}-.0549026{col 44}{space 2} .0777091{col 55}{space 1}   -0.71{col 64}{space 3}0.480{col 72}{space 4}-.2074448{col 85}{space 3} .0976396
{txt}{space 8}Asian and Hispanic# 7  {c |}{col 32}{res}{space 2}-.0752918{col 44}{space 2} .0800113{col 55}{space 1}   -0.94{col 64}{space 3}0.347{col 72}{space 4}-.2323533{col 85}{space 3} .0817697
{txt}{space 8}Asian and Hispanic# 8  {c |}{col 32}{res}{space 2}-.0247661{col 44}{space 2} .0774472{col 55}{space 1}   -0.32{col 64}{space 3}0.749{col 72}{space 4}-.1767943{col 85}{space 3} .1272621
{txt}{space 8}Asian and Hispanic# 9  {c |}{col 32}{res}{space 2}-.1029228{col 44}{space 2} .0799385{col 55}{space 1}   -1.29{col 64}{space 3}0.198{col 72}{space 4}-.2598414{col 85}{space 3} .0539957
{txt}{space 8}Asian and Hispanic#10  {c |}{col 32}{res}{space 2} -.016612{col 44}{space 2} .0760759{col 55}{space 1}   -0.22{col 64}{space 3}0.827{col 72}{space 4}-.1659482{col 85}{space 3} .1327242
{txt}{space 11}Asian and White# 2  {c |}{col 32}{res}{space 2} .0991285{col 44}{space 2} .0778832{col 55}{space 1}    1.27{col 64}{space 3}0.203{col 72}{space 4}-.0537554{col 85}{space 3} .2520125
{txt}{space 11}Asian and White# 3  {c |}{col 32}{res}{space 2} .0954281{col 44}{space 2}  .078332{col 55}{space 1}    1.22{col 64}{space 3}0.223{col 72}{space 4}-.0583369{col 85}{space 3}  .249193
{txt}{space 11}Asian and White# 4  {c |}{col 32}{res}{space 2} .1075798{col 44}{space 2} .0791212{col 55}{space 1}    1.36{col 64}{space 3}0.174{col 72}{space 4}-.0477343{col 85}{space 3}  .262894
{txt}{space 11}Asian and White# 5  {c |}{col 32}{res}{space 2} .0345259{col 44}{space 2} .0781479{col 55}{space 1}    0.44{col 64}{space 3}0.659{col 72}{space 4}-.1188777{col 85}{space 3} .1879296
{txt}{space 11}Asian and White# 6  {c |}{col 32}{res}{space 2} .0177972{col 44}{space 2} .0807408{col 55}{space 1}    0.22{col 64}{space 3}0.826{col 72}{space 4}-.1406961{col 85}{space 3} .1762905
{txt}{space 11}Asian and White# 7  {c |}{col 32}{res}{space 2} .0658658{col 44}{space 2} .0794421{col 55}{space 1}    0.83{col 64}{space 3}0.407{col 72}{space 4}-.0900782{col 85}{space 3} .2218098
{txt}{space 11}Asian and White# 8  {c |}{col 32}{res}{space 2}  .058056{col 44}{space 2} .0800368{col 55}{space 1}    0.73{col 64}{space 3}0.468{col 72}{space 4}-.0990554{col 85}{space 3} .2151674
{txt}{space 11}Asian and White# 9  {c |}{col 32}{res}{space 2}-.0382827{col 44}{space 2} .0807964{col 55}{space 1}   -0.47{col 64}{space 3}0.636{col 72}{space 4}-.1968854{col 85}{space 3} .1203199
{txt}{space 11}Asian and White#10  {c |}{col 32}{res}{space 2}-.0183053{col 44}{space 2} .0781503{col 55}{space 1}   -0.23{col 64}{space 3}0.815{col 72}{space 4}-.1717136{col 85}{space 3}  .135103
{txt}{space 8}Hispanic and White# 2  {c |}{col 32}{res}{space 2} .0834147{col 44}{space 2}  .084126{col 55}{space 1}    0.99{col 64}{space 3}0.322{col 72}{space 4}-.0817238{col 85}{space 3} .2485532
{txt}{space 8}Hispanic and White# 3  {c |}{col 32}{res}{space 2} .0635493{col 44}{space 2} .0822892{col 55}{space 1}    0.77{col 64}{space 3}0.440{col 72}{space 4}-.0979837{col 85}{space 3} .2250823
{txt}{space 8}Hispanic and White# 4  {c |}{col 32}{res}{space 2} .1127979{col 44}{space 2} .0845195{col 55}{space 1}    1.33{col 64}{space 3}0.182{col 72}{space 4}-.0531131{col 85}{space 3} .2787088
{txt}{space 8}Hispanic and White# 5  {c |}{col 32}{res}{space 2} .0442386{col 44}{space 2} .0828681{col 55}{space 1}    0.53{col 64}{space 3}0.594{col 72}{space 4}-.1184307{col 85}{space 3} .2069078
{txt}{space 8}Hispanic and White# 6  {c |}{col 32}{res}{space 2} .0829951{col 44}{space 2} .0808624{col 55}{space 1}    1.03{col 64}{space 3}0.305{col 72}{space 4}-.0757369{col 85}{space 3} .2417272
{txt}{space 8}Hispanic and White# 7  {c |}{col 32}{res}{space 2} -.008434{col 44}{space 2} .0794327{col 55}{space 1}   -0.11{col 64}{space 3}0.915{col 72}{space 4}-.1643597{col 85}{space 3} .1474917
{txt}{space 8}Hispanic and White# 8  {c |}{col 32}{res}{space 2} .0119778{col 44}{space 2} .0827508{col 55}{space 1}    0.14{col 64}{space 3}0.885{col 72}{space 4}-.1504613{col 85}{space 3}  .174417
{txt}{space 8}Hispanic and White# 9  {c |}{col 32}{res}{space 2} .0130321{col 44}{space 2} .0810632{col 55}{space 1}    0.16{col 64}{space 3}0.872{col 72}{space 4}-.1460942{col 85}{space 3} .1721584
{txt}{space 8}Hispanic and White#10  {c |}{col 32}{res}{space 2}-.0033089{col 44}{space 2} .0819013{col 55}{space 1}   -0.04{col 64}{space 3}0.968{col 72}{space 4}-.1640804{col 85}{space 3} .1574626
{txt}{space 30} {c |}
{space 22}nativity {c |}
{space 8}Born Outside the U.S.  {c |}{col 32}{res}{space 2}-.1189554{col 44}{space 2}  .009593{col 55}{space 1}  -12.40{col 64}{space 3}0.000{col 72}{space 4}-.1377864{col 85}{space 3}-.1001243
{txt}{space 30} {c |}
{space 25}party {c |}
{space 19}Republican  {c |}{col 32}{res}{space 2}-.1276786{col 44}{space 2} .0133882{col 55}{space 1}   -9.54{col 64}{space 3}0.000{col 72}{space 4}-.1539594{col 85}{space 3}-.1013977
{txt}{space 18}Independent  {c |}{col 32}{res}{space 2}-.0108581{col 44}{space 2} .0111209{col 55}{space 1}   -0.98{col 64}{space 3}0.329{col 72}{space 4}-.0326883{col 85}{space 3} .0109722
{txt}{space 30} {c |}
{space 22}ideology {c |}
{space 21}Moderate  {c |}{col 32}{res}{space 2} .0040963{col 44}{space 2} .0110681{col 55}{space 1}    0.37{col 64}{space 3}0.711{col 72}{space 4}-.0176302{col 85}{space 3} .0258228
{txt}{space 17}Conservative  {c |}{col 32}{res}{space 2}-.0796104{col 44}{space 2} .0130468{col 55}{space 1}   -6.10{col 64}{space 3}0.000{col 72}{space 4}-.1052212{col 85}{space 3}-.0539996
{txt}{space 30} {c |}
{space 20}experience {c |}
{space 7}Served in City Council  {c |}{col 32}{res}{space 2}-.0696264{col 44}{space 2} .0106587{col 55}{space 1}   -6.53{col 64}{space 3}0.000{col 72}{space 4}-.0905493{col 85}{space 3}-.0487035
{txt}Served in the State Legisla..  {c |}{col 32}{res}{space 2}-.0222127{col 44}{space 2} .0097277{col 55}{space 1}   -2.28{col 64}{space 3}0.023{col 72}{space 4}-.0413081{col 85}{space 3}-.0031174
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2} .6200628{col 44}{space 2} .0421302{col 55}{space 1}   14.72{col 64}{space 3}0.000{col 72}{space 4} .5373616{col 85}{space 3}  .702764
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto task_effects

. test 2.race#2.task 2.race#3.task 2.race#4.task 2.race#5.task 2.race#6.task 2.race#7.task 2.race#8.task 2.race#9.task 2.race#10.task 3.race#2.task 3.race#3.task 3.race#4.task 3.race#5.task 3.race#6.task 3.race#7.task 3.race#8.task 3.race#9.task 3.race#10.task 4.race#2.task 4.race#3.task 4.race#4.task 4.race#5.task 4.race#6.task 4.race#7.task 4.race#8.task 4.race#9.task 4.race#10.task 5.race#2.task 5.race#3.task 5.race#4.task 5.race#5.task 5.race#6.task 5.race#7.task 5.race#8.task 5.race#9.task 5.race#10.task 6.race#2.task 6.race#3.task 6.race#4.task 6.race#5.task 6.race#6.task 6.race#7.task 6.race#8.task 6.race#9.task 6.race#10.task 7.race#2.task 7.race#3.task 7.race#4.task 7.race#5.task 7.race#6.task 7.race#7.task 7.race#8.task 7.race#9.task 7.race#10.task 8.race#2.task 8.race#3.task 8.race#4.task 8.race#5.task 8.race#6.task 8.race#7.task 8.race#8.task 8.race#9.task 8.race#10.task 9.race#2.task 9.race#3.task 9.race#4.task 9.race#5.task 9.race#6.task 9.race#7.task 9.race#8.task 9.race#9.task 9.race#10.task 10.race#2.task 10.race#3.task 10.race#4.task 10.race#5.task 10.race#6.task 10.race#7.task 10.race#8.task 10.race#9.task 10.race#10.task 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}2.race#2.task = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} 2.race#3.task = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} 2.race#4.task = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} 2.race#5.task = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} 2.race#6.task = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} 2.race#7.task = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} 2.race#8.task = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} 2.race#9.task = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} 2.race#10.task = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} 3.race#2.task = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} 3.race#3.task = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} 3.race#4.task = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} 3.race#5.task = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} 3.race#6.task = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} 3.race#7.task = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} 3.race#8.task = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} 3.race#9.task = 0{p_end}
{p 0 7}{space 1}{text:(18)}{space 1} 3.race#10.task = 0{p_end}
{p 0 7}{space 1}{text:(19)}{space 1} 4.race#2.task = 0{p_end}
{p 0 7}{space 1}{text:(20)}{space 1} 4.race#3.task = 0{p_end}
{p 0 7}{space 1}{text:(21)}{space 1} 4.race#4.task = 0{p_end}
{p 0 7}{space 1}{text:(22)}{space 1} 4.race#5.task = 0{p_end}
{p 0 7}{space 1}{text:(23)}{space 1} 4.race#6.task = 0{p_end}
{p 0 7}{space 1}{text:(24)}{space 1} 4.race#7.task = 0{p_end}
{p 0 7}{space 1}{text:(25)}{space 1} 4.race#8.task = 0{p_end}
{p 0 7}{space 1}{text:(26)}{space 1} 4.race#9.task = 0{p_end}
{p 0 7}{space 1}{text:(27)}{space 1} 4.race#10.task = 0{p_end}
{p 0 7}{space 1}{text:(28)}{space 1} 5.race#2.task = 0{p_end}
{p 0 7}{space 1}{text:(29)}{space 1} 5.race#3.task = 0{p_end}
{p 0 7}{space 1}{text:(30)}{space 1} 5.race#4.task = 0{p_end}
{p 0 7}{space 1}{text:(31)}{space 1} 5.race#5.task = 0{p_end}
{p 0 7}{space 1}{text:(32)}{space 1} 5.race#6.task = 0{p_end}
{p 0 7}{space 1}{text:(33)}{space 1} 5.race#7.task = 0{p_end}
{p 0 7}{space 1}{text:(34)}{space 1} 5.race#8.task = 0{p_end}
{p 0 7}{space 1}{text:(35)}{space 1} 5.race#9.task = 0{p_end}
{p 0 7}{space 1}{text:(36)}{space 1} 5.race#10.task = 0{p_end}
{p 0 7}{space 1}{text:(37)}{space 1} 6.race#2.task = 0{p_end}
{p 0 7}{space 1}{text:(38)}{space 1} 6.race#3.task = 0{p_end}
{p 0 7}{space 1}{text:(39)}{space 1} 6.race#4.task = 0{p_end}
{p 0 7}{space 1}{text:(40)}{space 1} 6.race#5.task = 0{p_end}
{p 0 7}{space 1}{text:(41)}{space 1} 6.race#6.task = 0{p_end}
{p 0 7}{space 1}{text:(42)}{space 1} 6.race#7.task = 0{p_end}
{p 0 7}{space 1}{text:(43)}{space 1} 6.race#8.task = 0{p_end}
{p 0 7}{space 1}{text:(44)}{space 1} 6.race#9.task = 0{p_end}
{p 0 7}{space 1}{text:(45)}{space 1} 6.race#10.task = 0{p_end}
{p 0 7}{space 1}{text:(46)}{space 1} 7.race#2.task = 0{p_end}
{p 0 7}{space 1}{text:(47)}{space 1} 7.race#3.task = 0{p_end}
{p 0 7}{space 1}{text:(48)}{space 1} 7.race#4.task = 0{p_end}
{p 0 7}{space 1}{text:(49)}{space 1} 7.race#5.task = 0{p_end}
{p 0 7}{space 1}{text:(50)}{space 1} 7.race#6.task = 0{p_end}
{p 0 7}{space 1}{text:(51)}{space 1} 7.race#7.task = 0{p_end}
{p 0 7}{space 1}{text:(52)}{space 1} 7.race#8.task = 0{p_end}
{p 0 7}{space 1}{text:(53)}{space 1} 7.race#9.task = 0{p_end}
{p 0 7}{space 1}{text:(54)}{space 1} 7.race#10.task = 0{p_end}
{p 0 7}{space 1}{text:(55)}{space 1} 8.race#2.task = 0{p_end}
{p 0 7}{space 1}{text:(56)}{space 1} 8.race#3.task = 0{p_end}
{p 0 7}{space 1}{text:(57)}{space 1} 8.race#4.task = 0{p_end}
{p 0 7}{space 1}{text:(58)}{space 1} 8.race#5.task = 0{p_end}
{p 0 7}{space 1}{text:(59)}{space 1} 8.race#6.task = 0{p_end}
{p 0 7}{space 1}{text:(60)}{space 1} 8.race#7.task = 0{p_end}
{p 0 7}{space 1}{text:(61)}{space 1} 8.race#8.task = 0{p_end}
{p 0 7}{space 1}{text:(62)}{space 1} 8.race#9.task = 0{p_end}
{p 0 7}{space 1}{text:(63)}{space 1} 8.race#10.task = 0{p_end}
{p 0 7}{space 1}{text:(64)}{space 1} 9.race#2.task = 0{p_end}
{p 0 7}{space 1}{text:(65)}{space 1} 9.race#3.task = 0{p_end}
{p 0 7}{space 1}{text:(66)}{space 1} 9.race#4.task = 0{p_end}
{p 0 7}{space 1}{text:(67)}{space 1} 9.race#5.task = 0{p_end}
{p 0 7}{space 1}{text:(68)}{space 1} 9.race#6.task = 0{p_end}
{p 0 7}{space 1}{text:(69)}{space 1} 9.race#7.task = 0{p_end}
{p 0 7}{space 1}{text:(70)}{space 1} 9.race#8.task = 0{p_end}
{p 0 7}{space 1}{text:(71)}{space 1} 9.race#9.task = 0{p_end}
{p 0 7}{space 1}{text:(72)}{space 1} 9.race#10.task = 0{p_end}
{p 0 7}{space 1}{text:(73)}{space 1} 10.race#2.task = 0{p_end}
{p 0 7}{space 1}{text:(74)}{space 1} 10.race#3.task = 0{p_end}
{p 0 7}{space 1}{text:(75)}{space 1} 10.race#4.task = 0{p_end}
{p 0 7}{space 1}{text:(76)}{space 1} 10.race#5.task = 0{p_end}
{p 0 7}{space 1}{text:(77)}{space 1} 10.race#6.task = 0{p_end}
{p 0 7}{space 1}{text:(78)}{space 1} 10.race#7.task = 0{p_end}
{p 0 7}{space 1}{text:(79)}{space 1} 10.race#8.task = 0{p_end}
{p 0 7}{space 1}{text:(80)}{space 1} 10.race#9.task = 0{p_end}
{p 0 7}{space 1}{text:(81)}{space 1} 10.race#10.task = 0{p_end}

{txt}       F( 81,   785) ={res}    1.01
{txt}{col 13}Prob > F ={res}    0.4472

{com}. 
. *esttab task_effects using lemi_pop_2020.tex, longtable constant ci nonumbers label title("Race x Carryover (Task) Effects") append

. 
. 
. 
. *******NAAS 2016 Pre-Questionnaire

. clear

. use "/Users/daniellelemi/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/Replication/NAAS16-pre-election-ICPSRpending (6).dta"

. 
. keep if rstate=="CA"
{txt}(2,240 observations deleted)

{com}. 
. 
. *Q4.8A=Harris and Sanchez, no cue

. *Q4.9A=Harris and Sanchez, racial cue

. *Q2.2a=How important is being RACE to your identity?

. 
. *Coding Asian categories

. gen asian=0

. replace asian=1 if raceeth==11
{txt}(124 real changes made)

{com}. replace asian=1 if raceeth==12
{txt}(136 real changes made)

{com}. replace asian=1 if raceeth==13
{txt}(173 real changes made)

{com}. replace asian=1 if raceeth==14
{txt}(204 real changes made)

{com}. replace asian=1 if raceeth==15
{txt}(133 real changes made)

{com}. replace asian=1 if raceeth==16
{txt}(118 real changes made)

{com}. replace asian=1 if raceeth==17
{txt}(162 real changes made)

{com}. replace asian=1 if raceeth==18
{txt}(174 real changes made)

{com}. 
. tab raceeth asian

{txt}Race and Asian {c |}
     Ethnicity {c |}         asian
       Recoded {c |}         0          1 {c |}     Total
{hline 15}{c +}{hline 22}{c +}{hline 10}
       2. NHPI {c |}{res}       197          0 {txt}{c |}{res}       197 
{txt}      3. White {c |}{res}       378          0 {txt}{c |}{res}       378 
{txt}      4. Black {c |}{res}       381          0 {txt}{c |}{res}       381 
{txt}     6. Latino {c |}{res}       367          0 {txt}{c |}{res}       367 
{txt} 11. asnindian {c |}{res}         0        124 {txt}{c |}{res}       124 
{txt} 12. cambodian {c |}{res}         0        136 {txt}{c |}{res}       136 
{txt}   13. chinese {c |}{res}         0        173 {txt}{c |}{res}       173 
{txt}  14. filipino {c |}{res}         0        204 {txt}{c |}{res}       204 
{txt}     15. hmong {c |}{res}         0        133 {txt}{c |}{res}       133 
{txt}  16. japanese {c |}{res}         0        118 {txt}{c |}{res}       118 
{txt}    17. korean {c |}{res}         0        162 {txt}{c |}{res}       162 
{txt}18. vietnamese {c |}{res}         0        174 {txt}{c |}{res}       174 
{txt}{hline 15}{c +}{hline 22}{c +}{hline 10}
         Total {c |}{res}     1,323      1,224 {txt}{c |}{res}     2,547 

{com}. 
. tab raceeth

{txt}Race and Asian {c |}
     Ethnicity {c |}
       Recoded {c |}      Freq.     Percent        Cum.
{hline 15}{c +}{hline 35}
       2. NHPI {c |}{res}        197        7.73        7.73
{txt}      3. White {c |}{res}        378       14.84       22.58
{txt}      4. Black {c |}{res}        381       14.96       37.53
{txt}     6. Latino {c |}{res}        367       14.41       51.94
{txt} 11. asnindian {c |}{res}        124        4.87       56.81
{txt} 12. cambodian {c |}{res}        136        5.34       62.15
{txt}   13. chinese {c |}{res}        173        6.79       68.94
{txt}  14. filipino {c |}{res}        204        8.01       76.95
{txt}     15. hmong {c |}{res}        133        5.22       82.18
{txt}  16. japanese {c |}{res}        118        4.63       86.81
{txt}    17. korean {c |}{res}        162        6.36       93.17
{txt}18. vietnamese {c |}{res}        174        6.83      100.00
{txt}{hline 15}{c +}{hline 35}
         Total {c |}{res}      2,547      100.00

{com}. keep if asian==1 | raceeth==4 
{txt}(942 observations deleted)

{com}. 
. ***Coding treatment groups

. gen control=0

. replace control=1 if q4_8a != .
{txt}(732 real changes made)

{com}. tab control q4_8a

           {txt}{c |}  Q4.8A  Thinking about the upcoming November election
           {c |}              for  the U.S. Senate  in Ca
   control {c |} 1. Harris  2. Sanche  3. DO NOT  88. DO NO  99. DO NO {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         1 {c |}{res}       190        101         29        394         18 {txt}{c |}{res}       732 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}       190        101         29        394         18 {txt}{c |}{res}       732 

{com}. 
. 
. gen treated=0

. replace treated=1 if q4_9a != .
{txt}(748 real changes made)

{com}. tab treated q4_9a

           {txt}{c |}  Q4.9A Thinking about the upcoming November election
           {c |}              for  the U.S. Senate  in Cal
   treated {c |} 1. Harris  2. Sanche  3. Someon  88. DO NO  99. DO NO {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         1 {c |}{res}       236         75         58        350         29 {txt}{c |}{res}       748 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}       236         75         58        350         29 {txt}{c |}{res}       748 

{com}. 
. 
. label define treated 1 "Cue" 0 "No Cue"

. label values treated treated

. 
. ***Dependent Variable

. *Selected Harris over Sanchez: 1=Selected Harris, 0=Selected Sanchez

. gen selected_harris_over=.
{txt}(1,605 missing values generated)

{com}. replace selected_harris_over=1 if q4_8a==1 | q4_9a==1
{txt}(426 real changes made)

{com}. replace selected_harris_over=0 if q4_8a==2 | q4_9a==2
{txt}(176 real changes made)

{com}. bigtab selected_harris_over q4_8a 
{txt}
  {c TLC}{hline 10}{c -}{hline 30}{c -}{hline 6}{c -}{hline 7}{c -}{hline 9}{c -}{hline 8}{c TRC}
  {c |} {res}select~r                          q4_8a   freq     pct   cumfreq   cumpct {txt}{c |}
  {c LT}{hline 10}{c -}{hline 30}{c -}{hline 6}{c -}{hline 7}{c -}{hline 9}{c -}{hline 8}{c RT}
  {c |} {res}       0                     2. Sanchez    101    6.29       101     6.29 {txt}{c |}
  {c |} {res}       0                              .     75    4.67       176    10.97 {txt}{c |}
  {c |} {res}       1                      1. Harris    190   11.84       366    22.80 {txt}{c |}
  {c |} {res}       1                              .    236   14.70       602    37.51 {txt}{c |}
  {c |} {res}       .   3. DO NOT READ  Someone else     29    1.81       631    39.31 {txt}{c |}
  {c |} {res}       .    88. DO NOT READ  Don't know    394   24.55      1025    63.86 {txt}{c |}
  {c |} {res}       .       99. DO NOT READ  Refused     18    1.12      1043    64.98 {txt}{c |}
  {c |} {res}       .                              .    562   35.02      1605   100.00 {txt}{c |}
  {c BLC}{hline 10}{c -}{hline 30}{c -}{hline 6}{c -}{hline 7}{c -}{hline 9}{c -}{hline 8}{c BRC}


{com}. bigtab selected_harris_over q4_9a 
{txt}
  {c TLC}{hline 10}{c -}{hline 29}{c -}{hline 6}{c -}{hline 7}{c -}{hline 9}{c -}{hline 8}{c TRC}
  {c |} {res}select~r                         q4_9a   freq     pct   cumfreq   cumpct {txt}{c |}
  {c LT}{hline 10}{c -}{hline 29}{c -}{hline 6}{c -}{hline 7}{c -}{hline 9}{c -}{hline 8}{c RT}
  {c |} {res}       0                    2. Sanchez     75    4.67        75     4.67 {txt}{c |}
  {c |} {res}       0                             .    101    6.29       176    10.97 {txt}{c |}
  {c |} {res}       1                     1. Harris    236   14.70       412    25.67 {txt}{c |}
  {c |} {res}       1                             .    190   11.84       602    37.51 {txt}{c |}
  {c |} {res}       .               3. Someone else     58    3.61       660    41.12 {txt}{c |}
  {c |} {res}       .   88. DO NOT READ  Don't know    350   21.81      1010    62.93 {txt}{c |}
  {c |} {res}       .      99. DO NOT READ  Refused     29    1.81      1039    64.74 {txt}{c |}
  {c |} {res}       .                             .    566   35.26      1605   100.00 {txt}{c |}
  {c BLC}{hline 10}{c -}{hline 29}{c -}{hline 6}{c -}{hline 7}{c -}{hline 9}{c -}{hline 8}{c BRC}


{com}. 
. 
. ***Coding strength of identity

. **Coding: 1=identity is important at all, 0=else

. gen q2_2acopy=q2_2a
{txt}(607 missing values generated)

{com}. replace q2_2acopy=. if q2_2a==88
{txt}(26 real changes made, 26 to missing)

{com}. gen impt_identityhi=1 if q2_2acopy==2
{txt}(1,432 missing values generated)

{com}. replace impt_identityhi=1 if q2_2acopy==3
{txt}(332 real changes made)

{com}. replace impt_identityhi=1 if q2_2acopy==4
{txt}(369 real changes made)

{com}. replace impt_identityhi=0 if q2_2acopy==1
{txt}(98 real changes made)

{com}. replace impt_identityhi=0 if q2_2acopy==.
{txt}(633 real changes made)

{com}. 
. tab impt_identityhi q2_2acopy

{txt}impt_ident {c |}                  q2_2acopy
     ityhi {c |}         1          2          3          4 {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
         0 {c |}{res}        98          0          0          0 {txt}{c |}{res}        98 
{txt}         1 {c |}{res}         0        173        332        369 {txt}{c |}{res}       874 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}        98        173        332        369 {txt}{c |}{res}       972 

{com}. 
. label define impt_identityhi 1 "Race is important" 0 "Race is not important"

. label values impt_identityhi impt_identityhi

. 
. 
. gen same_party=0

. replace same_party=1 if pid4==1
{txt}(893 real changes made)

{com}. label define same_party 1 "R's Party" 0 "Not R's Party"

. label values same_party same_party

. 
. 
. ***Average treatment effects 

. *Black

. reg selected_harris_over i.treated i.same_party [pweight=pweight] if raceeth==4, allbaselevels
{txt}(sum of wgt is 312,647.893823911)

Linear regression                               Number of obs     = {res}       206
                                                {txt}F(2, 203)         =  {res}     1.07
                                                {txt}Prob > F          = {res}    0.3455
                                                {txt}R-squared         = {res}    0.0183
                                                {txt}Root MSE          =    {res} .37562

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}selected_har~r{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treated {c |}
{space 7}No Cue  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (base)
{space 10}Cue  {c |}{col 16}{res}{space 2}  .030567{col 28}{space 2}  .068024{col 39}{space 1}    0.45{col 48}{space 3}0.654{col 56}{space 4}-.1035571{col 69}{space 3} .1646912
{txt}{space 14} {c |}
{space 4}same_party {c |}
Not R's Party  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (base)
{space 4}R's Party  {c |}{col 16}{res}{space 2} .1057948{col 28}{space 2} .0834064{col 39}{space 1}    1.27{col 48}{space 3}0.206{col 56}{space 4}-.0586591{col 69}{space 3} .2702488
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} .7398693{col 28}{space 2} .0796249{col 39}{space 1}    9.29{col 48}{space 3}0.000{col 56}{space 4} .5828714{col 69}{space 3} .8968673
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto ate_black

. 
. *Asian

. reg selected_harris_over i.treated i.same_party [pweight=pweight] if asian==1, allbaselevels
{txt}(sum of wgt is 412,823.92600407)

Linear regression                               Number of obs     = {res}       396
                                                {txt}F(2, 393)         =  {res}     7.50
                                                {txt}Prob > F          = {res}    0.0006
                                                {txt}R-squared         = {res}    0.0457
                                                {txt}Root MSE          =    {res} .45413

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}selected_har~r{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treated {c |}
{space 7}No Cue  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (base)
{space 10}Cue  {c |}{col 16}{res}{space 2} .1754042{col 28}{space 2} .0571282{col 39}{space 1}    3.07{col 48}{space 3}0.002{col 56}{space 4} .0630892{col 69}{space 3} .2877192
{txt}{space 14} {c |}
{space 4}same_party {c |}
Not R's Party  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (base)
{space 4}R's Party  {c |}{col 16}{res}{space 2} .0889138{col 28}{space 2} .0572421{col 39}{space 1}    1.55{col 48}{space 3}0.121{col 56}{space 4}-.0236253{col 69}{space 3} .2014529
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} .5474876{col 28}{space 2} .0512318{col 39}{space 1}   10.69{col 48}{space 3}0.000{col 56}{space 4} .4467649{col 69}{space 3} .6482103
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto ate_asian

. 
. coefplot ate_black ate_asian, keep(0.treated 1.treated) baselevels
{res}
{com}. 
. ***Heterogeneity

. **Black 

. reg selected_harris_over i.treated##i.impt_identityhi i.same_party [pweight=pweight] if raceeth==4
{txt}(sum of wgt is 312,647.893823911)

Linear regression                               Number of obs     = {res}       206
                                                {txt}F(4, 201)         =  {res}     5.69
                                                {txt}Prob > F          = {res}    0.0002
                                                {txt}R-squared         = {res}    0.0757
                                                {txt}Root MSE          =    {res} .36629

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}   selected_harris_over{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}treated {c |}
{space 19}Cue  {c |}{col 25}{res}{space 2} .5255092{col 37}{space 2}  .202752{col 48}{space 1}    2.59{col 57}{space 3}0.010{col 65}{space 4} .1257154{col 78}{space 3} .9253031
{txt}{space 23} {c |}
{space 8}impt_identityhi {c |}
{space 5}Race is important  {c |}{col 25}{res}{space 2} .3903473{col 37}{space 2} .2058634{col 48}{space 1}    1.90{col 57}{space 3}0.059{col 65}{space 4}-.0155817{col 78}{space 3} .7962763
{txt}{space 23} {c |}
treated#impt_identityhi {c |}
{space 1}Cue#Race is important  {c |}{col 25}{res}{space 2}-.5519423{col 37}{space 2} .2121039{col 48}{space 1}   -2.60{col 57}{space 3}0.010{col 65}{space 4}-.9701765{col 78}{space 3} -.133708
{txt}{space 23} {c |}
{space 13}same_party {c |}
{space 13}R's Party  {c |}{col 25}{res}{space 2}   .10129{col 37}{space 2} .0805047{col 48}{space 1}    1.26{col 57}{space 3}0.210{col 65}{space 4}-.0574521{col 78}{space 3} .2600321
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .4032152{col 37}{space 2} .2019033{col 48}{space 1}    2.00{col 57}{space 3}0.047{col 65}{space 4}  .005095{col 78}{space 3} .8013354
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto selected_harris_over_black

. 
. **Asian

. reg selected_harris_over i.treated##i.impt_identityhi i.same_party [pweight=pweight] if asian==1
{txt}(sum of wgt is 412,823.92600407)

Linear regression                               Number of obs     = {res}       396
                                                {txt}F(4, 391)         =  {res}     4.21
                                                {txt}Prob > F          = {res}    0.0024
                                                {txt}R-squared         = {res}    0.0482
                                                {txt}Root MSE          =    {res} .45471

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}   selected_harris_over{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}treated {c |}
{space 19}Cue  {c |}{col 25}{res}{space 2} .1478358{col 37}{space 2} .0738427{col 48}{space 1}    2.00{col 57}{space 3}0.046{col 65}{space 4} .0026573{col 78}{space 3} .2930143
{txt}{space 23} {c |}
{space 8}impt_identityhi {c |}
{space 5}Race is important  {c |}{col 25}{res}{space 2}-.0076985{col 37}{space 2} .0923544{col 48}{space 1}   -0.08{col 57}{space 3}0.934{col 65}{space 4}-.1892718{col 78}{space 3} .1738747
{txt}{space 23} {c |}
treated#impt_identityhi {c |}
{space 1}Cue#Race is important  {c |}{col 25}{res}{space 2} .0725782{col 37}{space 2} .1147562{col 48}{space 1}    0.63{col 57}{space 3}0.527{col 65}{space 4}-.1530383{col 78}{space 3} .2981947
{txt}{space 23} {c |}
{space 13}same_party {c |}
{space 13}R's Party  {c |}{col 25}{res}{space 2} .0878104{col 37}{space 2} .0570556{col 48}{space 1}    1.54{col 57}{space 3}0.125{col 65}{space 4}-.0243637{col 78}{space 3} .1999845
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .5514107{col 37}{space 2} .0632316{col 48}{space 1}    8.72{col 57}{space 3}0.000{col 65}{space 4} .4270942{col 78}{space 3} .6757272
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. est sto selected_harris_over_asian

. 
. coefplot selected_harris_over_black selected_harris_over_asian, drop(1.same_party 0.same_party _cons) baselevels
{res}
{com}. 
. *graph combine naas_ate.gph naas_heterogeneity.gph

. 
. *esttab ate_black ate_asian selected_harris_over_black selected_harris_over_asian using lemi_pop_2020.tex, constant ci nonumbers label nodepvars scalars(r2) wide title("National Asian American Survey") mtitle("Black Californians" "Asian Californians" "Black Californians" "Asian Californians") append

. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/daniellelemi/Dropbox/New Folder With Items/Lemi Large File/Lemi Dissertation/Empirical Chapter 2/PoP 2019 submission/PoP Final Accepted Version/Lemi_PoP_Do_Voters_Prefer_Just_Any_Log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}22 Mar 2020, 14:59:57
{txt}{.-}
{smcl}
{txt}{sf}{ul off}